{"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fktaz.hatenadiary.org%2Fentry%2F20040213%2F1076628775\" title=\" bioconductor \u7279\u96c6\u304b? - ktaz\u306e\u8ad6\u6587\u30e1\u30e2\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["\u8ad6\u6587"],"title":" bioconductor \u7279\u96c6\u304b?","provider_name":"Hatena Blog","provider_url":"https://hatena.blog","blog_title":"ktaz\u306e\u8ad6\u6587\u30e1\u30e2","published":"2004-02-13 08:32:55","author_url":"https://blog.hatena.ne.jp/ktaz/","height":"190","description":"\u4eca\u53f7\u306e Bioinformatics \u8a8c\u306f\uff0ebioconductor \u7269\u304c\u591a\u3044\u306a\uff0e A benchmark for Affymetrix GeneChip expression measuresBioinformatics 2004 20(3):323-331\u69d8\u3005\u306a\u30ce\u30fc\u30de\u30e9\u30a4\u30ba\u624b\u6cd5\u306e\u7279\u5fb4\u3092\u6bd4\u8f03\u3057\u307e\u3057\u305f\u3068\u3044\u3046\u8a71\uff0e\u5177\u4f53\u7684\u306b\u306f Normalize \u624b\u6cd5\u3068\u3057\u3066\u306f\uff0cMas5, dChip, RMA \u3092\u5bfe\u8c61\u306b\u3057\u3066\u304a\u308a\uff0c\u4ee5\u4e0b\u306e\u89b3\u70b9\u304b\u3089\u5404\u624b\u6cd5\u3092\u6bd4\u8f03\u3057\u3066\u3044\u308b\uff0e replicate array \u3067\u306e\u767a\u73fe\u91cf\u5dee\u304c\u5c0f\u3055\u3044\u304b\u5426\u304b (\u672c\u5f53\u306e)RNA\u91cf\u306b\u5bfe\u3059\u308b\u6e2c\u5b9a\u91cf\u306e\u5927\u304d\u3055 (\u672c\u5f53\u306e)RNA\u91cf\u306b\u5bfe\u3059\u308b\u6e2c\u5b9a\u91cf fold-cha\u2026","image_url":null,"version":"1.0","blog_url":"https://ktaz.hatenadiary.org/","width":"100%","author_name":"ktaz","url":"https://ktaz.hatenadiary.org/entry/20040213/1076628775","type":"rich"}