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Clustering gene expression data with a penalized graph-based metric

BACKGROUND: The search for cluster structure in microarray datasets is a base problem for the so-called "-omic sciences". A difficult problem in clustering is how to handle data with a manifold structure, i.e. data that is not shaped in the form of compact clouds of points, forming arbitra...

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書誌詳細
主要な著者: Bayá, Ariel E, Granitto, Pablo M
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2011
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3023695/
https://ncbi.nlm.nih.gov/pubmed/21205299
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-2
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