Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes

Authors:	Pierre R Bushel Russell D Wolfinger Greg Gibson

Affiliation:	(1) National Center for Toxicogenomics, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA;(2) SAS Institute, Cary, North Carolina, USA;(3) Department of Genetics, North Carolina State University, Raleigh, North Carolina, USA;(4) Bioinformatics Program, North Carolina State University, Raleigh, North Carolina, USA

Abstract:	Background Commonly employed clustering methods for analysis of gene expression data do not directly incorporate phenotypic data about the samples. Furthermore, clustering of samples with known phenotypes is typically performed in an informal fashion. The inability of clustering algorithms to incorporate biological data in the grouping process can limit proper interpretation of the data and its underlying biology.

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