The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data

The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data

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Motivation: Identifying genes with bimodal expression patterns from large-scale expression profiling data is an important analytical task. Model-based clustering is popular for this purpose. That technique commonly uses the Bayesian information criterion (BIC) for model selection. In practice, howev...

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Bibliographic Details
Main Authors: Jing Wang, Sijin Wen, W. Fraser Symmans, Lajos Pusztai, Kevin R. Coombes
Format: Article
Language:English
Published: SAGE Publishing 2009-01-01
Series:Cancer Informatics
Subjects:
gene expression profiling
cancer
bimodality index
Online Access:http://www.la-press.com/the-bimodality-index-a-criterion-for-discoveringnbsp-and-ranking-bimod-a1579

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http://www.la-press.com/the-bimodality-index-a-criterion-for-discoveringnbsp-and-ranking-bimod-a1579

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