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A comparative analysis of biclustering algorithms for gene expression data

The need to analyze high-dimension biological data is driving the development of new data mining methods. Biclustering algorithms have been successfully applied to gene expression data to discover local patterns, in which a subset of genes exhibit similar expression levels over a subset of condition...

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書誌詳細
主要な著者: Eren, Kemal, Deveci, Mehmet, Küçüktunç, Onur, Çatalyürek, Ümit V.
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3659300/
https://ncbi.nlm.nih.gov/pubmed/22772837
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbs032
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