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Information-Theoretic Inference of Large Transcriptional Regulatory Networks

The paper presents MRNET, an original method for inferring genetic networks from microarray data. The method is based on maximum relevance/minimum redundancy (MRMR), an effective information-theoretic technique for feature selection in supervised learning. The MRMR principle consists in selecting am...

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書誌詳細
主要な著者: Meyer, Patrick E, Kontos, Kevin, Lafitte, Frederic, Bontempi, Gianluca
フォーマット: Artigo
言語:Inglês
出版事項: Springer 2007
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3171353/
https://ncbi.nlm.nih.gov/pubmed/18354736
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/79879
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