UniBic: Sequential row-based biclustering algorithm for analysis of gene expression data.

Abstract

Biclustering algorithms, which aim to provide an effective and efficient way to analyze gene expression data by finding a group of genes with trend-preserving expression patterns under certain conditions, have been widely developed since Morgan et al. pioneered a work about partitioning a data matrix into submatrices with approximately constant values… (More)
DOI: 10.1038/srep23466

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