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Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens
<p>Abstract</p> <p>Background</p> <p>The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the interpretation of cellular phenotypes in different experimental cond...
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主要な著者: | , , , , , , |
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フォーマット: | Artigo |
言語: | Inglês |
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BMC
2008-06-01
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シリーズ: | BMC Bioinformatics |
オンライン・アクセス: | http://www.biomedcentral.com/1471-2105/9/264 |
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