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Bagged gene shaving for the robust clustering of high-throughput data

The analysis of high-throughput data sets, such as microarray data, often requires that individual variables (genes, for example) be grouped into clusters of variables with highly correlated values across all samples. Gene shaving is an established method for generating such clusters, but is overly...

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書誌詳細
主要な著者: Broom, Bradley M., Sulman, Erik P., Do, Kim-Anh, Edgerton, Mary E., Aldape, Kenneth D.
フォーマット: Artigo
言語:Inglês
出版事項: 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3879957/
https://ncbi.nlm.nih.gov/pubmed/20940121
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