Biclustering of Linear Patterns In Gene Expression Data
نویسندگان
چکیده
منابع مشابه
Biclustering of Linear Patterns In Gene Expression Data
Identifying a bicluster, or submatrix of a gene expression dataset wherein the genes express similar behavior over the columns, is useful for discovering novel functional gene interactions. In this article, we introduce a new algorithm for finding biClusters with Linear Patterns (CLiP). Instead of solely maximizing Pearson correlation, we introduce a fitness function that also considers the cor...
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Mining microarray data to unearth interesting expression profile patterns for discovery of in silico biological knowledge is an emerging area of research in computational biology. A group of functionally related genes may have similar expression patterns under a set of conditions or at some time points. Biclustering is an important data mining tool that has been successfully used to analyze gen...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2012
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2012.0032