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Object Detection API\u3092\u7528\u3044\u305f\u52d5\u7269\u306e\u8db3\u306e\u691c\u51fa\u3068\u8ffd\u8de1\n\u3000\u3000\u6e0b\u5ddd\u5927\u967d\t\u79fb\u52d5\u306e\u8ecc\u8de1\u3092\u7528\u3044\u305f\u52d5\u7269\u500b\u4f53\u306e\u7279\u5fb4\u5206\u6790\n\u3000\u3000\u5b87\u91ce\u667a\u6c5f\t\u52d5\u7269\u306e\u884c\u52d5\u8a8d\u8b58\u306e\u305f\u3081\u306e\u6abb\u306e\u9670\u90e8\u5206\u306e\u88dc\u9593\n\u3000\u3000\u793e\u672c\u7d75\u91cc\u9999\tR-CNN 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Autoencoder\u3092\u7528\u3044\u305f\u914d\u5217\u30c7\u30fc\u30bf\u304b\u3089\u306e\u6df1\u5c64\u5b66\u7fd2\n\u3000\u3000\u9234\u6728\u60a0\u592a\tRestricted Boltzmann Machine\u3092\u7528\u3044\u305f\u914d\u5217\u30c7\u30fc\u30bf\u304b\u3089\u306e\u6df1\u5c64\u5b66\u7fd2\n\u3000\u3000\u5c71\u7530\u7422\u5df1\t\u305d\u3089\u306a\u3063\u3068\u3046\u306e\u7d0d\u8c46\u83cc\u306b\u95a2\u3059\u308b\u5909\u7570\u89e3\u6790\n\u3000\u3000\u5927\u4e95\u4e9c\u7950\u7f8e\tsafe-SMOTE\u306b\u304a\u3051\u308b\u5b89\u5168\u9818\u57df\u306e\u5f62\u72b6\u3068\u5927\u304d\u3055\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u7684\u5834\u4e00\u5c06\t\u5b9f\u5bf8\u5199\u771f\u306e\u5171\u6709\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a>\n\n\u3010\uff12\uff10\uff11\uff13\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u6c34\u4e0a\u76f4\u7d00\t\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u305f\u30a2\u30df\u30ce\u9178\u914d\u5217\u304b\u3089\u306e\u30ec\u30af\u30c1\u30f3\u306e\u4e88\u6e2c\n\u3000\u3000\u5cf6\u7530\u8ce2\u4eba\tRNA-seq\u30c7\u30fc\u30bf\u304b\u3089\u306e\u65b0\u898f\u30ea\u30fc\u30c9\u30b9\u30eb\u30fc\u907a\u4f1d\u5b50\u306e\u767a\u898b\n\u3000\u3000\u725b\u5c3e\u51dc\u592a\u90ce\t\u5168\u30af\u30e9\u30b9\u306e\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u5206\u985e\u7cbe\u5ea6\u5411\u4e0a\n\u3000\u3000\u51a8\u7530\u76f4\u5e0c\tExif\u60c5\u5831\u306e\u57cb\u3081\u8fbc\u307f\u306b\u3088\u308b\u4ea4\u63db\u53ef\u80fd\u306a\u5b9f\u5bf8\u5199\u771f\u306e\u5b9f\u73fe\n\u3000\u3000\u6e21\u90e8\u8d77\u5e73\t\u88dc\u52a9\u57fa\u6e96\u7269\u3092\u7528\u3044\u305f\u5b9f\u5bf8\u5199\u771f\u306e\u7cbe\u5ea6\u5411\u4e0a\n\n\u3010\uff12\uff10\uff11\uff12\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u677e\u5c71\u54f2\u751f\tSnake\u3092\u7528\u3044\u305f\u80ba\u816b\u7624\u306e\u8f2a\u90ed\u62bd\u51fa\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u5ddd\u53e3\u7fd4\u592a\u90ce\t\u57fa\u6e96\u7269\u3092\u7528\u3044\u305f\u753b\u50cf\u5185\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u306e\u8a08\u6e2c\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u6b66\u7530\u5fb3\u660e\t\u69cb\u6587\u60c5\u5831\u3092\u7528\u3044\u305f\u540d\u8a5e\u306e\u610f\u5473\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u6817\u5c71\u4e45\u7bc4\tk-mer\u983b\u5ea6\u306b\u3088\u308b\u914d\u5217\u306e\u7279\u5fb4\u4ed8\u3051\u3068\u6b21\u5143\u5727\u7e2e\u306e\u52b9\u679c\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u67b6\u8c37\u7950\u5e0c\t\u8ddd\u96e2\u306b\u57fa\u3065\u304f\u8fd1\u508d\u6cd5\u306b\u95a2\u3059\u308b\u7814\u7a76\n\n\u3010\uff12\uff10\uff11\uff11\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u9580\u7aef\u5353\u6717\t\u751f\u7269\u7a2e\u63a8\u5b9a\u306b\u304a\u3051\u308b\u4e0d\u6574\u5408\u6027\u306e\u691c\u51fa\u3068\u7cbe\u5ea6\u6539\u5584\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u8c37\u76f4\u5f81\t\u76f8\u95a2\u884c\u5217\u306b\u57fa\u3065\u3044\u305f\u304c\u3093\u30de\u30a4\u30af\u30ed\u30a2\u30ec\u30a4\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6bd4\u8f03\u89e3\u6790\n\u3000\u3000\u95a2\u8c37\u4fee\u543e\t\u30bf\u30a4\u30e0\u30b3\u30fc\u30b9\u30c7\u30fc\u30bf\u304b\u3089\u306e\u907a\u4f1d\u5b50\u767a\u73fe\u91cf\u4e88\u6e2c\u306e\u7cbe\u5ea6\u5411\u4e0a\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u5cf6\u6d25\u7d14\u54c9\t\u591a\u5909\u91cf\u89e3\u6790\u306b\u3088\u308b\u591a\u6a5f\u80fd\u907a\u4f1d\u5b50\u306e\u63a8\u5b9a\n\u3000\u3000\u6fa4\u7530\u7d18\u6a39\t\u907a\u4f1d\u5b50\u767a\u73fe\u30c7\u30fc\u30bf\u7279\u7570\u7684GO term\u306e\u65b0\u898f\u540c\u5b9a\u6cd5\u306e\u6709\u7528\u6027\u691c\u8a0e\n\n\u3010\uff12\uff10\uff11\uff10\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u4e2d\u91ce\u8ce2\u53f8\t\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306en-gram\u7d71\u8a08\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u4e2d\u5c71\u5263\u592a\t\u914d\u5217\u65ad\u7247\u306e\u69cb\u9020\u30a8\u30f3\u30c8\u30ed\u30d4\u30fc\u3092\u7528\u3044\u305f\u30bf\u30f3\u30d1\u30af\u8cea\u7acb\u4f53\u69cb\u9020\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u9152\u4e95\u82f1\u884c\t\u76f8\u95a2\u884c\u5217\u306b\u57fa\u3065\u3044\u305f\u30de\u30a4\u30af\u30ed\u30a2\u30ec\u30a4\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6bd4\u8f03\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u5bae\u539f\u5927\u8cb4\t\u7d30\u80de\u7a2e\u9593\u306b\u304a\u3051\u308bDNA\u30e1\u30c1\u30eb\u5316\u306e\u6bd4\u8f03\n\u3000\u3000\u6cb3\u91ce\u66dc\u4ecb\tDNA\u30e1\u30c1\u30eb\u5316\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u4f5c\u6210\n\n\u3010\uff12\uff10\uff10\uff19\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5409\u7530\u6b63\u548c\t\u8a55\u4fa1\u5206\u6790\u624b\u6cd5\u3092\u7528\u3044\u305f\u85ac\u5264\u306e\u52b9\u679c\u5206\u6790\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u524d\u7530\u5eb7\u5b5d\t\u8907\u6570\u306e\u5f62\u5bb9\u8a5e\u3068\u540d\u8a5e\u306e\u4fee\u98fe\u95a2\u4fc2\u306b\u57fa\u3065\u304f\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u8fb0\u5df3\u548c\u4e5f\t\u30d5\u30a1\u30b8\u30a3\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u5358\u8a9e\u306e\u591a\u7fa9\u6027\u306e\u89e3\u6790\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u5bfa\u7530\u572d\u7950\t\u8ff0\u8a9e\u9805\u69cb\u9020\u306b\u57fa\u3065\u304f\u52d5\u8a5e\u306e\u610f\u5473\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u795e\u8c37\u9053\u592b\t\u907a\u4f1d\u5b50\u5236\u5fa1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059DNA\u30e1\u30c1\u30eb\u5316\u306e\u540c\u5b9a\n\n\u3010\uff12\uff10\uff10\uff18\u5e74\uff13\u6708\u3000\u5352\u696d\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u660e\u59d3\u611b\u9999\t\u5f62\u5bb9\u8a5e-\u540d\u8a5e\u306e\u4fee\u98fe\u95a2\u4fc2\u306b\u57fa\u3065\u304f\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u592a\u7530\u548c\u5fb3\t\u8a08\u7b97\u6a5f\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u86cb\u767d\u8cea\u9593\u76f8\u4e92\u4f5c\u7528\u306e\u4e88\u6e2c<\/pre>\n
\u4fee\u8ad6<\/h1>\n
\u3010\uff12\uff10\uff12\uff13\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\u3011\n\u3000\u3000\u4f50\u3005\u6728\u7d50\u8863\t\u76ae\u8cea\u8133\u6ce2\u306b\u304a\u3051\u308b\u96fb\u6975\u9593\u306e\u95a2\u4fc2\u89e3\u6790\u304a\u3088\u3073\u53ef\u8996\u5316\u624b\u6cd5\u306e\u63d0\u6848\n\u3000\u3000\u91cd\u5f18\u5230\u771f\t\u30c7\u30fc\u30bf\u62e1\u5f35\u304a\u3088\u3073\u640d\u5931\u95a2\u6570\u306e\u5909\u66f4\u304cFew-shot segmentation\u306e\u7cbe\u5ea6\u306b\u4e0e\u3048\u308b\u5f71\u97ff\n\n\u3010\uff12\uff10\uff12\uff12\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\u3011\n\u3000\u3000\u9b92\u5ca1\u826f\u6a39\t\u7fa4\u308c\u306b\u304a\u3051\u308b\u5c0f\u578b\u9b5a\u985e\u306e\u884c\u52d5\u89e3\u6790\n\u3000\u3000\u6797\u96bc\u5e73\t\u59ff\u52e2\u8a8d\u8b58\u306b\u57fa\u3065\u304f\u6559\u5e2b\u7121\u3057\u884c\u52d5\u62bd\u51fa\u306e\u9ad8\u7cbe\u5ea6\u5316\n\n\u3010\uff12\uff10\uff12\uff11\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\u3011\n\u3000\u3000\u4e0a\u7530\u8cb4\u54c9\tSpatiotemporal Image\u3092\u7528\u3044\u305f\u52d5\u7269\u884c\u52d5\u5206\u985e\u306e\u7cbe\u5ea6\u8a55\u4fa1\n\u3000\u3000\u8fb0\u5df3\u7950\u5927\t\u59ff\u52e2\u8a8d\u8b58\u306b\u57fa\u3065\u304f\u8907\u5408\u7684\u884c\u52d5\u304a\u3088\u3073\u7e70\u308a\u8fd4\u3057\u884c\u52d5\u306e\u89e3\u6790\n\n\u3010\uff12\uff10\uff12\uff10\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\u3011\n\u3000\u3000\u5b87\u91ce\u667a\u6c5f\tSemantic Segmentation\u306b\u304a\u3051\u308b\u5408\u6210\u80cc\u666f\u3092\u7528\u3044\u305f\u5b66\u7fd2\n\n\u3010\uff12\uff10\uff11\uff19\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\u3011\n\u3000\u3000\u5408\u5834\u96c5\u5fd7\t\u914d\u5217\u5206\u985e\u3078\u306e\u5358\u8a9e\u57cb\u3081\u8fbc\u307f\u306e\u5fdc\u7528\n\u3000\u3000\u6d45\u91ce\u525b\u53f2\tDynamic Image\u3092\u7528\u3044\u305f\u52d5\u7269\u884c\u52d5\u306e\u5206\u985e\n\u3000\u3000\u7a74\u7530\u822a\u592a\t\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u69d8\u3005\u306a\u52d5\u7269\u306e\u59ff\u52e2\u8a8d\u8b58\n\u3000\u3000\u5ddd\u53e3\u7fd4\u592a\u90ce\t\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u8133\u6ce2\u306e\u5206\u985e\n\n\u3010\uff12\uff10\uff11\uff18\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5d8b\u53e3\u82b3\u5e0c\t\u6838\u5185\u79fb\u884c\u30bf\u30f3\u30d1\u30af\u8cea\u306e\u5c40\u5728\u90e8\u4f4d\u4e88\u6e2c\n\u3000\u3000\u53e4\u5e02\u4f51\u54c9\t\u6df1\u5ea6\u30bb\u30f3\u30b5\u4ed8\u304d\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u52d5\u4f53\u691c\u51fa\u3068\u80cc\u666f\u9664\u53bb\n\u3000\u3000\u4e09\u5b85\u51cc\u99ac\t\u81e8\u5e8a\u8133\u6ce2\u691c\u67fb\u306e\u305f\u3081\u306e\u81ea\u52d5\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0\u306e\u69cb\u7bc9\n\u3000\u3000\u7530\u6751\u6b63\u5e78\t\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u3068\u6574\u6570\u8a08\u753b\u6cd5\u3092\u57fa\u76e4\u3068\u3057\u305f\u7d30\u80de\u753b\u50cf\u9818\u57df\u691c\u51fa\u304a\u3088\u3073\u7d30\u80de\u8ffd\u8de1\u306e\u540c\u6642\u6700\u9069\u5316\n\n\u3010\uff12\uff10\uff11\uff17\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u9f4a\u85e4\u96c4\u592a\t\u7dda\u866b\u306e\u795e\u7d4c\u7d30\u80de\u914d\u7f6e\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u305f\u795e\u7d4c\u7d30\u80de\u540d\u7279\u5b9a\u306e\u305f\u3081\u306e\u4eba\u5de5\u77e5\u80fd\u6280\u8853\u306e\u958b\u767a\n\u3000\u3000\u9577\u8c37\u7be4\u5fd7\t\u30db\u30a6\u30ad\u30bf\u30b1\u5c5e\u306e\u30b2\u30ce\u30e0\u914d\u5217\u89e3\u6790\n\u3000\u3000\u6ff1\u7530\u6d69\u5149\t\u6df1\u5ea6\u30bb\u30f3\u30b5\u4ed8\u304d\u30ab\u30e1\u30e9\u3092\u7528\u3044\u305f\u52d5\u7269\u4f53\u8868\u9762\u306e\u30c8\u30e9\u30c3\u30ad\u30f3\u30b0\n\u3000\u3000\u68ee\u5143\u53f2\u7fd4\t\u4e8c\u6b21\u5143\u964d\u96ea\u7c92\u5b50\u30c7\u30fc\u30bf\u306e\u51f9\u51f8\u5f62\u72b6\u89e3\u6790\n\n\u3010\uff12\uff10\uff11\uff16\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000Nguyen, Ngoc Giang\tDNA Sequence Classification by a Deep Learning Algorithm for Text Classification\n\u3000\u3000\u5c71\u672c\u76f4\u6a39\t\u30c6\u30ad\u30b9\u30c8\u30de\u30a4\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u85ac\u5264\u3068\u75c5\u6c17\u306e\u95a2\u4fc2\u62bd\u51fa\n\u3000\u3000\u9234\u6728\u60a0\u592a\t\u7d30\u80de\u79fb\u52d5\u7d4c\u8def\u306e\u6700\u9069\u5316\u306b\u57fa\u3065\u304f4D\u753b\u50cf\u30c7\u30fc\u30bf\u4e2d\u306e\u7d30\u80de\u9818\u57df\u81ea\u52d5\u8ffd\u8de1\u624b\u6cd5\u306e\u958b\u767a\n\n\u3010\uff12\uff10\uff11\uff15\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5cf6\u7530\u8ce2\u4eba\t\u907a\u4f1d\u5b50\u767a\u73fe\u30c7\u30fc\u30bf\u8996\u899a\u5316\u306e\u305f\u3081\u306e\u6b21\u5143\u524a\u6e1b\u624b\u6cd5\u7d71\u5408\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306e\u958b\u767a\n\n\u3010\uff12\uff10\uff11\uff14\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5ddd\u53e3\u7fd4\u592a\u90ce\t\u30e9\u30a4\u30d6\u30bb\u30eb4D\u30a4\u30e1\u30fc\u30b8\u5185\u306e\u591a\u6570\u306e\u7d30\u80de\u9818\u57df\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30de\u30eb\u30b3\u30d5\u78ba\u7387\u5834\u306b\u57fa\u3065\u304f\u8ffd\u8de1\u624b\u6cd5\u306e\u958b\u767a\n\u3000\u3000\u6b66\u7530\u5fb3\u660e\t\u30c6\u30ad\u30b9\u30c8\u30de\u30a4\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u5264\u95a2\u9023\u306e\u77e5\u8b58\u62bd\u51fa\n\n\u3010\uff12\uff10\uff11\uff13\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u8c37\u76f4\u5f81\t\u72b6\u614b\u7a7a\u9593\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u8d85\u9ad8\u6b21\u5143\u9010\u6b21\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u624b\u6cd5\u306e\u958b\u767a\n\u3000\u3000\u9580\u7aef\u5353\u6717\t\u30e1\u30bf\u30b2\u30ce\u30e0\u30a2\u30bb\u30f3\u30d6\u30e9MetaVelvet\u306e\u6709\u52b9\u6027\u306e\u691c\u8a3c\n\n\u3010\uff12\uff10\uff11\uff12\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5f35\u9d6c\tClassification of Kinase Group in Protein Phosphorylation based on 3D Structure of Substrates\uff08\n\u30bf\u30f3\u30d1\u30af\u8cea\u30ea\u30f3\u9178\u5316\u4fee\u98fe\u306b\u304a\u3051\u308b\u57fa\u8cea\u69cb\u9020\u60c5\u5831\u306b\u57fa\u3065\u304f\u30ad\u30ca\u30fc\u30bc\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\uff09\n\u3000\u3000Tran Vu Anh\tD-IMPACT: A Data Preprocessing Method to Optimize the Intracluster and Intercluster Similarity for Clustering\uff08\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u30af\u30e9\u30b9\u5185\u304a\u3088\u3073\u30af\u30e9\u30b9\u9593\u985e\u4f3c\u5ea6\u3092\u6700\u9069\u5316\u3059\u308b\u30c7\u30fc\u30bf\u51e6\u7406\u624b\u6cd5\uff24-\uff29\uff2d\uff30\uff21\uff23\uff34\u306b\u95a2\u3059\u308b\u7814\u7a76\uff09\n\u3000\u3000\u4e2d\u5c71\u5263\u592a\t\u5c40\u6240\u7684\u306a\u30af\u30e9\u30b9\u30a4\u30f3\u30d0\u30e9\u30f3\u30b9\u306b\u7740\u76ee\u3057\u305f\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u624b\u6cd5\u306b\u95a2\u3059\u308b\u7814\u7a76\n\n\u3010\uff12\uff10\uff11\uff11\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u5409\u7530\u6b63\u548c\t\u30d2\u30b9\u30c8\u30f3\u306e\u30e1\u30c1\u30eb\u5316\u5236\u5fa1\u9175\u7d20\u304c\u6a19\u7684\u3068\u3059\u308b\u907a\u4f1d\u5b50\u306e\u63a2\u7d22\u3068\u304c\u3093\u306e\u6291\u5236\u3068\u306e\u95a2\u9023\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u524d\u7530\u5eb7\u5b5d\t\u69cb\u6587\u60c5\u5831\u3092\u7528\u3044\u305f\u30bb\u30f3\u30c6\u30f3\u30b9\u9593\u306e\u610f\u5473\u7684\u985e\u4f3c\u6027\u306e\u8a08\u7b97\u65b9\u6cd5\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u8fb0\u5df3\u548c\u4e5f\t\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u7528\u3044\u305f\u5c40\u6240\u9069\u5fdc\u578b\u30aa\u30fc\u30d0\u30fc\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u3068\u305d\u306e\u52b9\u679c\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u795e\u8c37\u9053\u592b\t\u7d30\u80de\u7a2e\u9593\u907a\u4f1d\u5b50\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5dee\u7570\u306b\u5bc4\u4e0e\u3059\u308b\u30a8\u30d4\u30b2\u30ce\u30e0\u306e\u540c\u5b9a\n\n\u3010\uff12\uff10\uff11\uff10\u5e74\uff13\u6708\u3000\u4fee\u58eb\u8ad6\u6587\uff08\u52d5\u753b\u306f\u5b66\u5185\u9650\u5b9a\uff09<\/a>\u3011\n\u3000\u3000\u660e\u59d3\u611b\u9999\t\u751f\u7269\u533b\u5b66\u7528\u8a9e\u306e\u610f\u5473\u63a8\u5b9a\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u3000\u3000\u5d8b\u7530\u5b5d\u5fb3\t\u907a\u4f1d\u5b50\u767a\u73fe\u30c7\u30fc\u30bf\u306e\u968e\u5c64\u7684\u5206\u985e\n\u3000\u3000\u702c\u6238\u53f8\t\u30a8\u30d4\u30c8\u30fc\u30d7\u9818\u57df\u306e\u6297\u539f\u6027\u306b\u5bfe\u3059\u308b\u5206\u5b50\u52d5\u529b\u5b66\u7684\u30a2\u30d7\u30ed\u30fc\u30c1\n\u3000\u3000\u592a\u7530\u548c\u5fb3\t\u86cb\u767d\u8cea\u9593\u7d50\u5408\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u907a\u4f1d\u5b50\u591a\u578b\u306e\u63a2\u7d22\n\u3000\u3000\u5b88\u512a\u8f14\t\u884c\u52d5\u89e3\u6790\u306b\u3088\u308b\u9b5a\u985e\u7db2\u819c\u30c9\u30d1\u30df\u30f3\u7d30\u80de\u306e\u6a5f\u80fd\u89e3\u6790<\/pre>\n
\u7814\u7a76\u4f1a\u30fb\u5168\u56fd\u5927\u4f1a\u30fb\u56fd\u969b\u4f1a\u8b70\u30dd\u30b9\u30bf\u30fc\u7b49<\/h1>\n
Delimayanti,M.K., Purnama,B., Nguyen,N.G., Mahmudah,K.R., Kubo,M., Kakikawa,M., Yamada,Y., Satou,K.\nClustering and Classification of Breathing Activities by Depth Image from Kinect\nBIOINFORMATICS 2019: 10th International Conference on Bioinformatics Models, Methods and Algorithms\n22-24 February 2019\n\nPurnama,B., Delimayanti,M.K., Nguyen,N.G., Mahmudah,K.R., Kubo,M., Kakikawa,M., Yamada,Y., Satou,K.\nOn The Problem About Optical Flow Prediction for Silhouette Image\nBIOINFORMATICS 2019: 10th International Conference on Bioinformatics Models, Methods and Algorithms\n22-24 February 2019\n\n\u5d8b\u53e3\u82b3\u5e0c, \u4e45\u4fdd\u5b88, \u4f50\u85e4\u8ce2\u4e8c\n\u85ac\u5264\u306e\u6d3b\u6027\u4e88\u6e2c\u306b\u9069\u3057\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u63a2\u7d22\n\u5e73\u621028\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u7406\u89e32\nF2-43\n2016\u5e749\u670813-14\u65e5\n\n\u9577\u8c37\u7be4\u5fd7, \u4e45\u4fdd\u5b88, \u5ca9\u7530\u606d\u5b9c, \u548c\u7530\u9686\u5fd7, \u4f50\u85e4\u8ce2\u4e8c\nMRSA\u682a\u306e\u5909\u7570\u60c5\u5831\u306b\u57fa\u3065\u304f\u767a\u75c7\u4e88\u6e2c\u3068\u85ac\u5264\u8010\u6027\u4e88\u6e2c\n\u5e73\u621027\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u305d\u306e\u4ed61\nF2-5\n2015\u5e749\u670812-13\u65e5\n\n\u68ee\u5143\u53f2\u7fd4, \u4e45\u4fdd \u5b88, \u4f50\u85e4 \u8ce2\u4e8c\n\u6c17\u8c61\u89b3\u6e2c\u30c7\u30fc\u30bf\u306e\u30b5\u30fc\u30d0\u69cb\u7bc9\n\u5e73\u621027\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u305d\u306e\u4ed61\nF2-6\n2015\u5e749\u670812-13\u65e5\n\n\u5c71\u672c \u76f4\u6a39, \u6b66\u7530 \u5fb3\u660e, \u4f50\u85e4 \u8ce2\u4e8c\n\u30c6\u30ad\u30b9\u30c8\u30de\u30a4\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u6297\u304c\u3093\u5264\u985e\u4f3c\u7269\u8cea\u306e\u63a2\u7d22\n\u5e73\u621026\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u305d\u306e\u4ed63\nF81\n2014\u5e749\u670811-12\u65e5\n\n\u9234\u6728 \u60a0\u592a, \u4f50\u85e4 \u8ce2\u4e8c\nRestricted Boltzmann Machine\u3092\u7528\u3044\u305f\u914d\u5217\u30c7\u30fc\u30bf\u304b\u3089\u306e\u6df1\u5c64\u5b66\u7fd2\n\u5e73\u621026\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u305d\u306e\u4ed63\nF75\n2014\u5e749\u670811-12\u65e5\n\n\u5cf6\u7530\u8ce2\u4eba, \u4f50\u85e4\u8ce2\u4e8c, \u5e83\u702c\u4fee\nRNA-seq\u30c7\u30fc\u30bf\u304b\u3089\u306e\u65b0\u898f\u30ea\u30fc\u30c9\u30b9\u30eb\u30fc\u767a\u898b\n\u5e73\u621025\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u60c5\u5831\u51e6\u74062\nF2-43\n2013\u5e749\u670821-22\u65e5\n\nSaethang,T., Hirose,O., Kimkong,I., Satou,K.\nANALYSIS OF ANTIBACTERIAL AND TUMOR HOMING PEPTIDES USING SUPPORT VECTOR MACHINE\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.64\n3-10 January 2013\n\nDang,X.T., Hirose,O., Satou,K.\nIMPROVING CLASSIFICATION PERFORMANCE OF REAL AND PSEUDO MIRNA PRECURSORS\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.117\n3-10 January 2013\n\nTran,V.A., Hirose,O., Satou,K.\nD-IMPACT: AN EFFECTIVE METHOD TO IMPROVE THE CLUSTERING PERFORMANCE ON GENE EXPRESSION DATA\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.123\n3-10 January 2013\n\nNguyen,L.A.T., Hirose,O., Satou,K.\nAPPLICATION OF AN UNDER-SAMPLING METHOD TO BETATURN PREDICTION\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.121\n3-10 January 2013\n\nLe,T.K.T., Hirose,O., Satou,K.\nAN APPROACH TO EXTEND DOMAIN-DOMAIN INTERACTION NETWORKS BASED ON PROTEIN DOMAIN FUNCTIONAL SIMILARITY\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.120\n3-10 January 2013\n\nSatou, K. \nANALYSIS OF NOUN PHRASES EXTRACTED FROM BIOMEDICAL TEXTS FOR SEMANTIC CATEGORY PREDICTION\nThe Pacific Symposium on Biocomputing 2013 (PSB2013)\np.122\n3-10 January 2013\n\nSatou, K., Zhang, P., Kawaguchi, S.\nClassification of Kinase Group in Protein Phosphorylation\nJoint Conference on Informatics in Biology, Medicine and Pharmacology\nB62_136\n14-17 October 2012\n\n\u4f50\u85e4\u8ce2\u4e8c\n\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u7b49\u3092\u7528\u3044\u305f\u5b9f\u5bf8\u5199\u771f\u306e\u751f\u6210\u3068\u30b5\u30a4\u30ba\u6e2c\u5b9a\n\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u30fb\u30b8\u30e3\u30d1\u30f32012\nI-16\n2012\u5e749\u670827-28\u65e5\n\n\u6b66\u7530\u5fb3\u660e, \u4f50\u85e4\u8ce2\u4e8c\n\u69cb\u6587\u60c5\u5831\u3092\u7528\u3044\u305f\u540d\u8a5e\u306e\u610f\u5473\u63a8\u5b9a\n\u5e73\u621024\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2.\u60c5\u5831\u51e6\u7406\u30fb\u305d\u306e\u4ed6\nF-118\n2012\u5e749\u67081-2\u65e5\n\n\u30bf\u30f3\u30d1\u30af\u8cea\u30ea\u30f3\u9178\u5316\u90e8\u4f4d\u306b\u4f5c\u7528\u3059\u308b\u30ad\u30ca\u30fc\u30bc\u306e\u4e88\u6e2c\n\u5ddd\u53e3\u7fd4\u592a\u90ce, \u5f35\u9d6c, \u4f50\u85e4\u8ce2\u4e8c\n\u5e73\u621024\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2.\u60c5\u5831\u51e6\u7406\u30fb\u305d\u306e\u4ed6\nF-119\n2012\u5e749\u67081-2\u65e5\n\nDang,X.T., Satou,K.\nA Novel Over-Sampling Method and its Application to Cancer Classification from Gene Expression Data\nThe 2011 Joint Conference of CBI and JSBi\nCBI-P3-4\n8-10 November 2011\n\nSaethang,T., Kimkong,I., Satou,K.\nQuantitative HLA-Peptide Binding Prediction Using Amino Acid Pairwise Contact Potentials and HLA-Peptide Contact Site Information\nThe 2011 Joint Conference of CBI and JSBi\nCBI-P3-5\n8-10 November 2011\n\nTran,V.A., Satou,K.\nPredicting the Clam Yield in Ben Tre from Environmental Data\nThe 2011 Joint Conference of CBI and JSBi\nCBI-P3-6\n8-10 November 2011\n\n\u8c37\u76f4\u5f81, \u95a2\u8c37\u4fee\u543e, \u4f50\u85e4\u8ce2\u4e8c\n\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\u30de\u30b7\u30f3\u3092\u7528\u3044\u305f\u907a\u4f1d\u5b50\u767a\u73fe\u91cf\u4e88\u6e2c\n\u5e73\u621023\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b92\nF-110\n2011\u5e749\u670817-18\u65e5\n\n\u9580\u7aef\u5353\u6717, \u4f50\u85e4\u8ce2\u4e8c\n\u751f\u7269\u7a2e\u63a8\u5b9a\u306b\u304a\u3051\u308b\u4e0d\u6574\u5408\u6027\u306e\u691c\u51fa\u3068\u7cbe\u5ea6\u6539\u5584\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u5e73\u621023\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF2. \u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b92\nF-111\n2011\u5e749\u670817-18\u65e5\n\nTran,V.A., Satou,K.\nAPPLICATION OF ATTRACTION BASED CLUSTERING ALGORITHM TO CANCER GENE DATASETS\nThe Ninth Asia-Pacific Bioinformatics Conference (APBC2011)\nAPBC2011 Conference\nP262\n11-14 January 2011\n\nZhan,P., Satou,K.\nPERFORMANCE EVALUATION OF SUPPORT VECTOR MACHINES FOR POST-TRANSLATIONAL MODIFICATION\nThe Ninth Asia-Pacific Bioinformatics Conference (APBC2011)\nAPBC2011 Conference\nP278\n11-14 January 2011\n\nSatou,K.\nSEMANTIC CLUSTERING OF BIOMEDICAL WORDS USING GOOGLE WEB 1T 5-GRAM\nThe Ninth Asia-Pacific Bioinformatics Conference (APBC2011)\nAPBC2011 Conference\nP285\n11-14 January 2011\n\n\u5bae\u539f\u5927\u8cb4 \u4f50\u85e4\u8ce2\u4e8c \u5c71\u7530\u6d0b\u4e00\n\u30d2\u30c8\u306eCpG island\u306b\u304a\u3051\u308bDNA\u30e1\u30c1\u30eb\u5316\u72b6\u614b\u306e\u691c\u8a0e\n\u5e73\u621022\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nB\u90e8\u9580\u3000\u56de\u8def\u30fb\u533b\u7528\u96fb\u5b50\nB-12\n2010\u5e749\u670811-12\u65e5\n\n\u4e2d\u5c71\u5263\u592a \u8fb0\u5df3\u548c\u4e5f \u5c71\u7530\u6d0b\u4e00 \u4f50\u85e4\u8ce2\u4e8c\nrRNA\u914d\u5217\u3092\u7528\u3044\u305f\u771f\u6838\u751f\u7269\u306e\u751f\u7269\u7a2e\u63a8\u5b9a\u306b\u304a\u3051\u308bSMOTE\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\n\u5e73\u621022\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u60c5\u5831\u51e6\u74063\nF-54\n2010\u5e749\u670811-12\u65e5\n\nKamiya,M., Satou,K., Yamada,Y.\nIdentification of DNA Methylation Which Leads to Differences of Gene Interaction Network between Cell Types\nThe 20th International Conference on Genome Informatics (GIW2009)\nGenome Informatics 2009 (Poster and Software Demonstrations)\nP037-1,P037-2\n14-16 December 2009\n\nMyosho,A., Nakano,K., Yamada,Y., Satou,K.\nSemantic Classification of Nouns in UMLS Using Google Web 1T 5-gram\nThe 20th International Conference on Genome Informatics (GIW2009)\nGenome Informatics 2009 (Poster and Software Demonstrations)\nP102-1,P102-2\n14-16 December 2009\n\n\u5d8b\u7530\u5b5d\u5fb3, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u907a\u4f1d\u5b50\u767a\u73fe\u30c7\u30fc\u30bf\u306e\u968e\u5c64\u7684\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u60c5\u5831\u51e6\u74062\nF-64\n2009\u5e749\u670812-13\u65e5\n\n\u8fb0\u5df3\u548c\u4e5f, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u914d\u5217\u304b\u3089\u306e\u9175\u7d20\u6a5f\u80fd\u63a8\u5b9a\u624b\u6cd5\u306e\u6539\u5584\u306b\u3064\u3044\u3066\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u60c5\u5831\u51e6\u74062\nF-65\n2009\u5e749\u670812-13\u65e5\n\n\u5409\u7530\u6b63\u548c, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\nrRNA\u914d\u5217\u3092\u7528\u3044\u305f\u771f\u6838\u751f\u7269\u306e\u751f\u7269\u7a2e\u63a8\u5b9a\u624b\u6cd5\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u60c5\u5831\u51e6\u74062\nF-66\n2009\u5e749\u670812-13\u65e5\n\n\u702c\u6238\u53f8, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u30a8\u30d4\u30c8\u30fc\u30d7\u9818\u57df\u306e\u90e8\u5206\u914d\u5217\u306e\u6297\u539f\u6027\u3068\u7acb\u4f53\u69cb\u9020\u306e\u95a2\u4fc2\u306b\u3064\u3044\u3066\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u60c5\u5831\u51e6\u74062\nF-67\n2009\u5e749\u670812-13\u65e5\n\n\u4e2d\u91ce\u8ce2\u53f8, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u691c\u7d22\u30a8\u30f3\u30b8\u30f3\u306en-gram\u7d71\u8a08\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u7406\u89e33\nF-47\n2009\u5e749\u670812-13\u65e5\n\n\u524d\u7530\u5eb7\u9686, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u8907\u6570\u306e\u5f62\u5bb9\u8a5e\u3068\u540d\u8a5e\u306e\u4fee\u98fe\u95a2\u4fc2\u306b\u57fa\u3065\u304f\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\u306b\u95a2\u3059\u308b\u7814\u7a76\n\u5e73\u621021\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406 \u77e5\u8b58\u51e6\u7406\/\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\nF-49\n2009\u5e749\u670812-13\u65e5\n\n\u660e\u59d3\u611b\u9999, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u5358\u8a9e\u306e\u610f\u5473\u5206\u985e\u306b\u304a\u3051\u308b\u6f5c\u5728\u610f\u5473\u89e3\u6790\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\n\u5e73\u621020\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nF\u90e8\u9580\u3000\u60c5\u5831\u51e6\u7406\u95a2\u4fc2 \u77e5\u8b58\u51e6\u7406\nF-42\n2008\u5e749\u670812-13\u65e5\n\n\u592a\u7530\u548c\u5fb3, \u5c71\u7530\u6d0b\u4e00, \u4f50\u85e4\u8ce2\u4e8c\n\u86cb\u767d\u8cea\u6a5f\u80fd\u306b\u5f71\u97ff\u3092\u53ca\u307c\u3059\u907a\u4f1d\u5b50\u591a\u578b\u306e\u63a2\u7d22\n\u5e73\u621020\u5e74\u5ea6\u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u5317\u9678\u652f\u90e8\u9023\u5408\u5927\u4f1a\nB\u90e8\u9580\u3000\u56de\u8def\u30fb\u533b\u7528\u96fb\u5b50\u95a2\u4fc2 \u56de\u8def\u30fb\u533b\u7528\u96fb\u5b50\uff13\nB-13\n2008\u5e749\u670812-13\u65e5\n\nMyosho,A., Miyata,Y., Yamada,Y., Satou,K.\nAnalysis of Adjective-Noun Co-occurrence In Biomedical Text\nThe Sixth Asia-Pacific Bioinformatics Conference (APBC2008)\nThe Sixth Asia-Pacific Bioinformatics Conference (Poster Abstract)\nP91\n14-17 January 2008<\/pre>\n
\u30b8\u30e3\u30fc\u30ca\u30eb\u30fb\u56fd\u969b\u4f1a\u8b70<\/h1>\n
Mizoguchi,R., Karashima,S., Miyajima,Y., Ogura,K., Kometani,M., Aono,D., Konishi,S., Demura,M., Tsujiguchi,H., Hara,A., Nakamura,H., Yoneda,T., Okamoto,S., Satou,K.\nImpact of gut microbiome on the renin-aldosterone system: Shika-machi Super Preventive Health Examination results\nHypertension Research, Vol.46, pp.2280\u20132292\n2023.6\n\nUrushihara,R., Takezako,N., Yoroidaka,T., Yamashita,T., Murata,R., Satou,K., Nakao,S., Takamatsu,H.\nEight-color multiparameter flow cytometry (EuroFlow-NGF) is as sensitive as next-generation sequencing in detecting minimal\/measurable residual disease in autografts of patients with multiple myeloma\neJHaem, Vol.4, pp.184-191\n2023.1\n\nTakemori-Sakai,Y., Satou,K., Senda,Y.,  Nakamura,Y., Otani,H., Maekawa,A., Oe,H., Oshima,M., Yoneda-Nakagawa,S., Miyagawa,T., Sato,K., Ogura,H., Mori,M., Wada,T., Sakai,Y., Yutani,M., Matsumura,T., Fujinaga,Y., Gabata,T., Wada,T., Iwata,Y.\nRare toxin A-negative and toxin B-positive strain of Clostridioides difficile from Japan lacking a complete tcdA gene\nJournal of Infection and Chemotherapy, Vol.28, Issue 5, pp.651-656\n2022.5\n\nIndriani,F., Mahmudah,K.R., Purnama,B., Satou,K.\nProtTrans-Glutar: Incorporating Features From Pre-trained Transformer-Based Models for Predicting Glutarylation Sites\nFrontiers in Genetics, 13:885929\n2022.5\n\nMahmudah,K.R., Indriani,F., Takemori-Sakai,Y., Iwata,Y., Wada,T., Satou,K.\nClassification of Imbalanced Data Represented as Binary Features\nApplied Sciences, Vol.11, No.17, 7825\n2021.8\n\nPurnama,B., Delimayanti,M.K., Mahmudah,K.R., Indriani,F., Kubo,M., Satou,K.\nThe Enrichment of Texture Information to Improve Optical Flow for Silhouette Image\nInternational Journal of Advanced Computer Science and Applications, Vol.12, No.2, pp.423-428\n2021.3\n\nOnouchi,H., Motomura,T., Idesako,N., Takahashi,A., Murase,M., Fukuyoshi,S., Endo,T., Satou,K., Naito,S., Itoh,M.\nExhaustive identification of conserved upstream open reading frames with potential translational regulatory functions from animal genomes\nScientific Reports, 10:16289\n2020.10\n\nTakahashi,H., Hayashi,N., Hiragori,Y., Sasaki,S., Motomura,T., Yamashita,Y., Naito,S., Takahashi,A., Fuse,K., Satou,K., Endo,T., Kojima,S., Onouchi,H.\nComprehensive genome-wide identification of angiosperm upstream ORFs with peptide sequences conserved in various taxonomic ranges using a novel pipeline, ESUCA\nBMC Genomics, 21:260\n2020.3\n\nDelimayanti,M.K., Purnama,B., Nguyen,N.G., Faisal,M.R., Mahmudah,K.R., Indriani,F., Kubo,M., Satou,K.\nClassification of Brainwaves for Sleep Stages by High-Dimensional FFT Features from EEG Signals\nApplied Sciences, Vol.10, No.5, 1797\n2020.3\n\nIwata,Y., Satou,K., Furuich,K., Yoneda,I., Matsumura,T., Yutani,M., Fujinaga,Y., Hase,A., Morita,H., Ohta,T., Senda,Y., Sakai-Takemori,Y., Wada,T., Fujita,S., Miyake,T., Yasuda,H., Sakai,N., Kitajima,S., Toyama,T., Shinozaki,Y., Sagara,A., Miyagawa,T., Hara,A., Shimizu,M., Kamikawa,Y., Ikeo,K., Shichino,S., Ueha,S., Nakajima,T., Matsushima,K., Kaneko,S., Wada,T. \nCollagen adhesion gene is associated with bloodstream infections caused by methicillin-resistant Staphylococcus aureus \nInternational Journal of Infectious Diseases, Vol.91, pp.22-31 \n2020.2\n\nKanamasa,S., Minami,T., Okabe,M., Park,E.Y., Fujimoto,T., Takahashi,A., Murase,M., Fukuyoshi,S., Oda,A., Satou,K., Takahashi,H. \nDraft Genome Sequence of Aspergillus terreus High-Itaconic-Acid-Productivity Mutant TN-484 \nMicrobiology Resource Announcements, 8(49), e01170-19 \n2019.12\n\nKanamasa,S., Yamaguchi,D., Machida,C., Fujimoto,T., Takahashi,A., Murase,M., Fukuyoshi,S., Oda,A., Satou,K., Takahashi,H. \nDraft Genome Sequence of Saccharomyces cerevisiae Strain Pf-1, Isolated from Prunus mume \nMicrobiology Resource Announcements, 8(46), e01169-19 \n2019.11\n\nNguyen,N.G., Delimayanti,M.K., Purnama,B., Mahmudah,K.R., Kubo,M., Kakikawa,M., Yamada,Y., Satou,K.\nApplying Deep Learning Models to Action Recognition of Swimming Mice with the Scarcity of Training Data\nthe 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), pp.270-275\n22-24 February 2019\n\nSatou,K., Shimaguchi,Y., Mahmudah,K.R., Nguyen,N.G., Delimayanti,M.K., Purnama,B., Kubo,M., Kakikawa,M., Yamada,Y.\nPrediction of Subnuclear Location for Nuclear Protein\nthe 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), pp.276-280\n22-24 February 2019\n\nNguyen,N.G., Phan,D., Lumbanraja,F.R., Faisal,M.R., Abapihi,B., Purnama,B., Delimayanti,M.K., Mahmudah,K.R., Kubo,M., Satou,K.\nApplying Deep Learning Models to Mouse Behavior Recognition\nJournal of Biomedical Science and Engineering, Vol.12 No.2, pp.183-196\n2019.2\n\nTakahashi,H., Sakagawa,E., Sakakibara,I., Machida,C., Miyaki,S., Takahashi,A., Onai,S., Fukuyoshi,S., Ohta,A., Satou,K., Kanamasa,S.\nDraft Genome Sequence of Saccharomyces cerevisiae Strain Hm-1, Isolated from Cotton Rosemallow\nMicrobiology Resource Announcements, Vol.7, Issue.13, e01184-18\n2018.10\n\nFaisal,M.R., Abapihi,B., Nguyen,N.G., Purnama,B., Delimayanti,M.K., Phan,D., Lumbanraja,F.R., Kubo,M., Satou,K.\nImproving Protein Sequence Classification Performance Using Adjacent and Overlapped Segments on Existing Protein Descriptors\nJournal of Biomedical Science and Engineering, Vol.11 No.6, pp.126-143\n2018.6\n\nLumbanraja,F.R., Nguyen,N.G., Phan,D., Faisal,M.R., Abapihi,B., Purnama,B., Delimayanti,M.K., Kubo,M., Satou,K.\nImproved Protein Phosphorylation Site Prediction by a New Combination of Feature Set and Feature Selection\nJournal of Biomedical Science and Engineering, Vol.11 No.6, pp.144-157\n2018.6\n\nPhan,D., Nguyen,N.G., Lumbanraja,F.R., Faisal,M.R., Abapihi,B., Purnama,B., Delimayanti,M.K., Kubo,M., Satou,K.\nCombined Use of k-Mer Numerical Features and Position-Specific Categorical Features in Fixed-Length DNA Sequence Classification\nJournal of Biomedical Science and Engineering, Vol.10, No.8, pp.390-401\n2017.8\n\nNguyen,N.G., Tran,V.A., Ngo,D.L., Phan,D., Lumbanraja,F.R., Faisal,M.R., Abapihi,B., Kubo,M., Satou,K. \nDNA Sequence Classification by Convolutional Neural Network\nJournal of Biomedical Science and Engineering, Vol.9, No.5, pp.280-286\n2016.4\n\nNgo,D.L., Yamamoto, N., Tran,V.A., Nguyen,N.G., Phan,D., Lumbanraja,F.R., Kubo,M., Satou,K.\nApplication of Word Embedding to Drug Repositioning\nJournal of Biomedical Science and Engineering, Vol.9, No.1, pp.7-16\n2016.1\n\nMiyahara,H., Hirose,O., Satou,K., Yamada,Y.\nFactors to preserve CpG-rich sequences in methylated CpG islands\nBMC Genomics, 16:144\n2015.2\n\nGavrilov,S., Kubo,M., Tran,V.A., Ngo,D.L, Nguyen,N.G., Nguyen,L.A.T., Lumbanraja,F.R., Phan,D., Saethang,T., Satou,K.\nFeature Analysis and Classification of Particle Data from Two-Dimensional Video Disdrometer\nAdvances in Remote Sensing, Vol.4, No.1, pp.1-14\n2015.1\n\nNguyen,L.A.T., Dang,X.T., Le,T.K.T., Saethang,T., Tran,V.A., Ngo,D.L, Gavrilov,S., Nguyen,N.G., Kubo,M., Yamada,Y., Satou,K.\nPredicting Beta-Turns and Beta-Turn Types Using a Novel Over-Sampling Approach\nJournal of Biomedical Science and Engineering, Vol.7, No.11, pp.927-940\n2014.9\n\nLi,J., Liu,J., Toivonen,H., Satou,K., Sun,Y., Sun,B.\nDiscovering Statistically Non-Redundant Subgroups\nKnowledge-Based Systems, Vol.67, pp.315\u2013327\n2014.9\n\nLe,T.K.T., Hirose,O., Nguyen,L.A.T., Saethang,T., Tran,V.A., Dang,X.T., Ngo,D.L, Kubo,M., Yamada,Y., Satou,K.\nInference of domain-domain interactions by matrix factorisation and domain-level features\nInternational Journal of Functional Informatics and Personalised Medicine, Vol.4, Issue 3-4, pp.259-273\n2014\n\nTran,V.A., Hirose,O., Saethang,T., Nguyen,L.A.T., Dang,X.T., Le,T.K.T., Ngo,D.L, Gavrilov, S., Kubo,M., Yamada,Y., Satou,K.\nD-IMPACT: A Data Preprocessing Algorithm to Improve the Performance of Clustering\nJournal of Software Engineering and Applications, Vol.7, No.8, pp.639-654\n2014.7\n\nLe,T.K.T., Hirose,O., Tran,V.A., Saethang,T., Nguyen,L.A.T., Dang,X.T., Ngo,D.L, Kubo,M., Yamada,Y., Satou,K.\nPredicting residue contacts for protein-protein interactions by integration of multiple information\nJournal of Biomedical Science and Engineering, Vol.7, No.1, pp.28-37\n2014.1\n\nNguyen,L.A.T., Hirose,O., Dang,X.T., Le,T.K.T., Saethang,T., Tran,V.A., Kubo,M., Yamada,Y., Satou,K.\nImproving the Prediction of Protein-Protein Interaction Sites Using a Novel Over-Sampling Approach and Predicted Shape Strings\nAnnual Review & Research in Biology, Vol.3, Issue 2, pp.92-106\n2013.3\n\nLe,T.D., Liu,L., Liu,B., Tsykin,A., Goodall,G.J., Satou,K., Li,J.\nInferring microRNA and transcription factor regulatory networks in heterogeneous data\nBMC Bioinformatics 2013, 14:92\n2013.3\n\nDang,X.T., Hirose,O., Saethang,T., Tran,V.A., Nguyen,L.A.T., Le,T.K.T., Kubo,M., Yamada,Y., Satou,K.\nA novel over-sampling method and its application to miRNA prediction\nJournal of Biomedical Science and Engineering, Vol.6, No.2A, pp.236-248\n2013.2\n\nDang,X.T., Hirose,O., Bui,D.H., Saethang,T., Tran,V.A., Nguyen,L.A.T., Le,T.K.T., Kubo,M., Yamada,Y., Satou,K.\nA Novel Over-Sampling Method and its Application to Cancer Classification from Gene Expression Data\nChem-Bio Informatics Journal, Vol.13, pp.19-29\n2013.1\n\nSaethang,T., Hirose,O., Kimkong,I., Tran,V.A., Dang,X.T., Nguyen,L.A.T., Le,T.K.T., Kubo,M., Yamada,Y., Satou,K.\nPAAQD: Predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors\nJournal of Immunological Methods, Vol.387, Issues 1-2, pp.293-302\n2013.1\n\nYamada,Y., Sawada,H., Hirotani,K., Oshima,M., Satou,K.\nValidation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset\nBMC Research Notes 2012, 5:680\n2012.12\n\nSaethang,T., Hirose,O., Kimkong,I., Tran,V.A., Dang,X.T., Nguyen,L.A.T., Le,T.K.T., Kubo,M., Yamada,Y., Satou,K.\nEpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information\nBMC Bioinformatics 2012, 13:313\n2012.11\n\nTran,V.A., Clemente,J.C., Nguyen,D.T., Li,J., Dang,X.T., Le,T.K.T., Nguyen,L.A.T., Saethang,T., Kubo,M., Yamada,Y., Satou,K.\nIMPACT: A Novel Clustering Algorithm based on Attraction\nJournal of Computers, Vol.7, No.3, pp.653-665\n2012.3\n\nKong,D., Piao,Y.S., Yamashita,S., Oshima,H., Oguma,K., Fushida,S., Fujimura,T., Minamoto,T., Seno,H., Yamada,Y., Satou,K., Ushijima,T., Ishikawa,T., Oshima,M. \nInflammation-induced repression of tumor suppressor miR-7 in gastric tumor cells \nOncogene, Vol.31, Issue 35, pp.3949\u20133960\n2011.12\n\nYoshida,M., Ishimura,A., Terashima,M., Enkhbaatar,Z., Nozaki,N., Satou,K., Suzuki,T.\nPLU1 histone demethylase decreases the expression of KAT5 and enhances the invasive activity of the cells\nBiochemical Journal, Vol.437, No.3, pp.555-564\n2011.8\n\nTran,D.H., Ho,T.B., Pham,T.H., Satou,K.\nMicroRNA expression profiles for classification and analysis of tumor samples\nIEICE Transactions on Information and Systems, E94-D, No.3, pp.416-422\n2011.3\n\nTran,D.H., Satou,K., Ho,T.B., Pham,T.H.\nComputational Discovery of miR-TF Regulatory Modules in Human Genome\nBioinformation, Vol.4, No.8, pp.371-377\n2010.2\n\nYamada,Y., Hirotani,K., Satou,K., Muramoto,K.\nAn identification method of data-specific GO terms from a microarray data set\nIEICE Transactions on Information and Systems, E92-D, No.5, pp.1093-1102\n2009.5\n\nTran,D.H., Pham,T.H., Satou,K., Ho,T.B.\nFinding microRNA regulatory modules in human genome using rule induction\nBMC Bioinformatics, Vol.9(Suppl.12):S5(10 pages)\n2008.12\n\nTran,D.H., Pham,T.H., Satou,K., Ho,T.B.\nPrediction of human microRNA hairpins using only positive sample learning\nJournal of Biomedical Science and Engineering (JBiSE), Vol.1, Issue 2, pp.141-146\n2008.8\n\nSatou,K., Konno,K., Ohta,O., Mikami,K., Teranishi,K., Yamada,Y., Ohki,S.\nPerformance Evaluation of Parallel Processing Environment for Molecular Dynamics\nWSEAS Transactions on Biology and Biomedicine, Vol.5, Issue 7, pp.173-182\n2008.7\n\nRebolledo-Mendez,J.D., Higashihara,M., Yamada,Y., Satou,K.\nCharacterization and Clustering of GO Terms by Feature Importance Vectors Obtained from Microarray Data\nWSEAS Transactions on Biology and Biomedicine, Vol.5, Issue 7, pp.163-172\n2008.7\n\nYamada,Y., Satou,K.\nPrediction of Genomic Methylation Status on CpG Islands Using DNA Sequence Features\nWSEAS Transactions on Biology and Biomedicine, Vol.5, Issue 7, pp.153-162\n2008.7\n\nHigashihara,M., Rebolledo-Mendez,J.D., Yamada,Y., Satou,K.\nApplication of a Feature Selection Method to Nucleosome Data: Accuracy Improvement and Comparison with Other Methods\nWSEAS Transactions on Biology and Biomedicine, Vol.5, Issue 5, pp.95-104\n2008.5\n\nYamada,Y., Miyata,Y., Higashihara,M., Satou,K.\nComparison of Cluster Identification Methods for Selection of GO Terms related to Gene Clusters\nWSEAS Transactions on Biology and Biomedicine, Vol.5, Issue 3, pp.54-63\n2008.3\n\nClemente,J.C., Satou,K., Valiente,G.\nPhylogenetic reconstruction from non-genomic data\nBioinformatics, Vol.23, No.2, pp.110-115\n2007.1\n\nClemente,J.C., Satou,K., Valiente,G.\nFinding conserved and non-conserved reactions using a metabolic pathway alignment algorithm\nGenome Informatics Series, Vol.17, No.1, pp.46-56\n2006.12\n\nSatou,K., Tsuji,S., Nakashima,Y.,Konagaya,A.\nParallel and pipelined database transfer in a grid environment for bioinformatics\nGrid Computing in Life Science, Vol.2, pp.255-262\n2006.10\n\nYokota,K., Satou,K., Ohki,S.\nComparative analysis of protein thermostability: difference in contents and substitutions of amino acid types on the surface and in the core regions of thermophilic and mesophilic proteins\nScience and Technology of Advanced Materials, Vol.7, pp.255-262\n2006.6\n\nPham,T.H., Tran,D.H., Ho,T.B., Satou,K., Valiente,G.\nQualitatively predicting acetylation and methylation areas in DNA sequences\nGenome Informatics Series, Vol.16, No.2, pp.3-11\n2005.12\n\nClemente,J.C., Satou,K., Valiente,G.\nReconstruction of Phylogenetic relationships from metabolic pathways based on the enzyme hierarchy and the gene ontology\nGenome Informatics Series, Vol.16, No.2, pp.45-55\n2005.12\n\nPham,T.H., Clemente,J.C., Satou,K., Ho,T.B.\nComputational discovery of transcriptional regulatory rules\nBioinformatics, Vol.21, Suppl.2, pp.101-107\n2005.9\n\nPham,T.H., Satou,K., Ho,T.B.\nSupport vector machines for prediction and analysis of beta and gamma-turns in proteins\nJournal of Bioinformatics and Computational Biology, Vol.3, No.2, pp.343-358\n2005.4\n\nSatou,K., Yamamoto,K.\nUtilizing weakly controlled vocabulary for sentence segmentation in biomedical literature\nIn Silico Biology, Vol.5, No. 1, pp.67-79\n2005.3\n\nUchida,S., Nishida,Y., Satou,K., Muta,S., Tashiro,K., Kuhara,S.\nDetection and normalization of biases present in spotted cDNA microarray data: A composite method addressing dye, intensity-dependent, spatially-dependent, and print-order biases\nDNA Research, Vol.12, No.1, pp.1-7\n2005.2\n\nPham,T.H., Satou,K., Ho,T.B.\nMining yeast transcriptional regulatory modules from factor DNA-binding sites and gene expression data\nGenome Informatics Series, Vol.15, pp.287-295\n2004.12\n\nSatou,K., Nakashima,Y.,Tsuji,S., Defago,X., Konagaya,A.\nAn integrated system for distributed bioinformatics environment on grids\nGrid Computing in Life Science, Vol.1, pp.5-13\n2004.5\n\nKonagaya,A., Konishi,F., Hatakeyama,M., Satou,K.\nThe superstructure toward open bioinformatics grid\nNew Generation Computing, Vol.22, No.2, pp.167-176\n2004.2\n\nPham,T.H., Satou,K., Ho,T.B.\nPrediction and analysis of \u03b2-turns in proteins by support vector machine\nGenome Informatics Series, Vol.14, pp.196-205\n2003.12\n\nOyama,T., Kitano,K., Satou,K., Ito,T.\nExtraction of knowledge on protein-protein interaction by association rule discovery\nBioinformatics, Vol.18, No.5, pp.705-714\n2002.5\n\nSatou,K., Fuseda,Y., Konagaya,A., Takagi,T.\nA framework for quick-and-pinpoint data mining and its application to heterogeneous genome databases\nKnowledge-Based Intelligent Information Engineering Systems & Allied Technologies, Vol.5, pp.773-777\n2001.9\n\nTsukamoto,Y., Takiguchi,K., Satou,K., Furuichi,E., Takagi,T., Kuhara,S.\nApplication of a deductive database system to search for topological and similar three-dimensional structures in protein\nComputer Applications in the Biosciences, Vol.13, No.2, pp.183-190\n1997.4\n\nSatou,K., Shibayama,G., Ono,T., Yamamura,Y., Furuichi,E., Kuhara,S., Takagi,T.\nFinding association rules on heterogeneous genome data\nBiocomputing, Vol.2, pp.397-408\n1997.1\n\nSatou,K., Furuichi,E., Hashimoto,S., Tsukamoto,Y., Kuhara,S., Takagi,T., Ushijima,K.\nDevelopment of a deductive database system for computing closures of similarity relationships among protein structures\nJournal of Japanese Society for Artificial Intelligence, Vol.11, No.3, pp.440-450\n1996.5\n\nNishikawa,A., Satou,K., Furuichi,E., Kuhara,S., Ushijima,K.\nData classification component in a deductive database system and its application to protein structural analysis\nIEICE (The Institute of Electronics, Information and Communication Engineers) Transactions on Information and Systems, Vol.E78-D, No.11, pp.1377-1387\n1995.11\n\nSatou,K., Furuichi,E., Kuhara,S., Takagi,T.\nSearches for topologically and three dimensionally similar structures in proteins\nGenome Informatics Series, Vol.4, pp.25-35\n1993.12\n\nSatou,K., Furuichi,E., Takiguchi,K., Takagi,T., Kuhara,S.\nA deductive database system PACADE for analyzing 3-D and secondary structures of protein\nComputer Applications in the Biosciences, Vol.9, No.3, pp.259-265\n1993.3\n\nSaethang,T., Hirose,O., Kimkong,I., Tran,V.A., Dang,X.T., Nguyen,L.A.T., Le,T.K.T., Kubo,M., Yamada,Y., Satou,K.\nPAAQD: predicting immunogenicity of MHC class I binding peptides using amino acid pairwise contact potentials and quantum topological molecular similarity descriptors\n11th International Conference on Bioinformatics (InCoB2012)\n2012.10\n\nTran,D.H., Ho,T.B., Satou,K., Pham,T.H.\nA computational method for classifying and analyzing tumor samples using microRNA expression profiles\n3rd International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2008), pp.120-127\n2008.12\n\nNguyen,T.P., Satou,K., Ho,T.B., Takabayashi,K.\nConstructing Signal Transduction Networks Using Multiple Signaling Feature Data\nProc. of Statistical and Relational Learning in Bioinformatics (StReBio), pp.1-8\n2008.9\n\nRebolledo-Mendez,J.D., Higashihara,M., Yamada,Y., Satou,K.\nFinding Hidden Relationship among Biological Concepts in Gene Ontology\nProc. of the WSEAS International Conference on BIOMEDICAL ELECTRONICS and BIOMEDICAL INFORMATICS (BEBI'08), pp.237-241\n2008.8\n\nSatou,K., Konno,K., Ohta,O., Mikami,K., Teranishi,K., Yamada,Y., Ohki,S.\nEffect of Parallel Processing and Optimization Techniques in Molecular Dynamics\nProc. of the WSEAS International Conference on BIOMEDICAL ELECTRONICS and BIOMEDICAL INFORMATICS (BEBI'08), pp.228-233\n2008.8\n\nYamada,Y., Satou,K.\nPrediction of methylation status on DNA sequences and identification of its important DNA sequence features\nProc. of the WSEAS International Conference on BIOMEDICAL ELECTRONICS and BIOMEDICAL INFORMATICS (BEBI'08), pp.223-227\n2008.8\n\nYamada,Y., Miyata,Y., Higashihara,M., Satou,K.\nEstimation of Identification Methods of Gene Clusters Using GO Term Annotations from a Hierarchical Cluster Tree\nProc. of the 9th WSEAS International Conference on MATHEMATICS & COMPUTERS IN BIOLOGY & CHEMISTRY (MCBC '08), pp.194-198\n2008.6\n\nHigashihara,M., Rebolledo-Mendez,J.D., Yamada,Y., Satou,K.\nRanking and Selection of Features for Improved Prediction of Nucleosome Occupancy and Modification\nProc. of the 9th WSEAS International Conference on MATHEMATICS & COMPUTERS IN BIOLOGY & CHEMISTRY (MCBC '08), pp.188-193\n2008.6\n\nTran,D.H., Pham,T.H., Satou,K., Ho,T.B.\nPrediction of microRNA Hairpins Using One-class Support Vector Machines\nProc. of the 2nd International Conference on Bioinformatics and Biomedical Engineering (ICBBE 2008), pp.33-36\n2008.5\n\nPham,T.H., Tran,D.H., Ho,T.B., Satou,K.\nPrediction of Histone Modifications in DNA sequences\nProc. of the 7th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2007), pp.959-966\n2007.10\n\nCasasnovas,J., Clemente,J.C., Miro-Julia,J., Rossello,F., Satou,K., Valiente,G.\nFuzzy clustering improves phylogenetic relationships reconstruction from metabolic pathways (IPMU 2006, Paris, France)\nProc. of the 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006), pp.2807-2814\n2006.7\n\nTran,D.H., Pham,T.H., Satou,K., Ho,T.B.\nConditional random fields for predicting and analyzing histone occupancy, acetylation and methylation areas in DNA sequences (EvoBio 2006, Budapest, Hungary)\nProc. of EvoBio 2006, pp.221-230\n2006.4\n\nClemente,J.C., Torisawa,K., Satou,K.\nComparison of phrase indexing for biomedical and newswire documents (IFSR2005, Kobe, Japan)\nProc. of the First International Congress of the International Federation for Systems Research (IFSR2005), S5-4-2 (6 pages in CD proceedings)\n2005.11\n\nLi,H., Yokota,K., Satou,K.\nContractive conformational change of calmodulin caused by the central linker: A molecular dynamics simulation study (METMBS'05, Las Vegas, USA)\nProc. of the 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'05), pp.225-230\n2005.6\n\nPham,T.H., Clemente,J.C., Satou,K., Ho,T.B.\nRule evaluation heuristics for knowledge discovery (KDDMBS, Hanoi, Vietnam)\nProc. of the Workshop on Knowledge Discovery and Data Management in Biomedical Science (KDDMBS) in conjunction with PAKDD-05, pp.29-44\n2005.5\n\nYoshikawa,S., Satou,K., Konagaya,A.\nDrug interaction ontology (DIO) for inferences of possible drug-drug interactions (Medinfo 2004, San Francisco, USA)\nProc. of Medinfo 2004, pp.454-458\n2004.9\n\nClemente,J.C., Satou,K., Torisawa,K.\nImproving the identification of non-anaphoric it using support vector machines (NLPBA\/BioNLP 2004, Geneva, Switzerland)\nProc. of the International Workshop on Natural Language Processing in Biomedicine and its Applications (NLPBA\/BioNLP 2004), pp.58-61\n2004.8\n\nKamegai,S., Satou,K., Konagaya,A.\nAutomated template discovery for information extraction from biomedical literature (CITSA 2004, Florida, USA)\nProc. of the International Conference on Cybernetics and Information Technologies, Systems and Applications (CITSA 2004), Vol II, pp.39-44\n2004.7\n\nTatsumoto,S., Satou,K., Konagaya,A.\nPrediction of protein secondary structure from PDB structure information based on sequence fragments Homology searching (METMBS'04, Las Vegas, USA)\nProc. of the 2004 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'04), pp.250-255\n2004.6\n\nClemente,J.C., Defago,X., Satou,K.\nAsynchronous peer-to-peer communication for failure resilient distributed genetic algorithms (PDCS2003, California, USA)\nProc. of the 15th IASTED Intl. Conf. on Parallel and Distributed Computing and Systems (PDCS2003), Vol.II, pp.769-773\n2003.11\n\nLi,H., Yokota,K., Satou,K.\nConformational change of calmodulin: A molecular dynamics simulation study (SCI2003, Florida, USA)\nProc. of the 7th World Multiconference on Systemics, Cybernetics and Informatics (SCI2003), Vol. VIII, pp.47-52\n2003.7\n\nMinakuchi,Y., Satou,K., Konagaya,A.\nPrediction of protein-protein interaction sites using support vector machines (METMBS'03, Las Vegas, USA)\nProc. of the 2003 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'03), pp.22-28\n2003.6\n\nTatsumoto,S., Satou,K., Konagaya,A.,Kurita,J., Shimahara,H., Tate,S.\nDevelopment of support tool for NMR spectrum analysis (METMBS'03, Las Vegas, USA)\nProc. of the 2003 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences (METMBS'03), pp.159-164\n2003.6\n\nSatou,K., Ono,T., Yamamura,Y., Furuichi,E., Kuhara,S., Takagi,T.\nExtraction of substructures of proteins essential to their biological functions by a data mining technique (ISMB'97, Halkidiki, Greece)\nProc. of the Fifth International Conference on Intelligent Systems for Molecular Biology (ISMB'97), pp.254-257\n1997.6\n\nSatou,K., Takagi,T., Kanehisa,M.\nGenomeNet: overview and recent enhancements (8th AAAP animal science Congress, Chiba, Japan)\nProc. of the Eighth Asian- Australasian Association of Animal Production Societies (AAAP) Animal Science Congress, Vol.I, pp.541-544\n1996.1\n\nNishikawa,A., Satou,K., Furuichi,E., Kuhara,S., Ushijima,K.\nEquipments for statistical analysis in a deductive database system -their implementation and their application to protein structural analysis- (ADTI'94, Nara, Japan)\nProc. of International Symposium on Advanced Database Technologies and Their Integration (ADTI'94), pp.237-244\n1994.1\n\nSatou,K., Furuichi,E., Takagi,T., Kuhara,S.\nApplication of a deductive database system PACADE toward discovery of clusters of similar structures in proteins (HICSS27, Hawaii, USA)\nProc. of the Twenty-Seventh Annual Hawaii International Conference on System Sciences (HICSS27), Vol.V, pp.160-169\n1994.1\n\nSatou,K., Furuichi,E., Takagi,T., Kuhara,S., Ushijima,K.\nSimilar structure search in a deductive database (NDA'93, Fukuoka, Japan)\nProc. of International Symposium on Next Generation Database Systems and Their Applications (NDA'93), pp.130-137\n1993.9\n\nKuhara,S., Satou,K., Furuichi,E., Takagi,T., Takehara,H., Sakaki,Y.\nA deductive database system PACADE for the three dimensional structure of protein (HICSS24, Hawaii, USA)\nProc. of the Twenty-Fourth Annual Hawaii International Conference on System Sciences (HICSS24), Vol.I, pp.653-659\n1991.1<\/pre>\n\n\n\n\n
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