The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data
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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2009-01-01
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Series: | Cancer Informatics |
Subjects: | |
Online Access: | http://www.la-press.com/the-bimodality-index-a-criterion-for-discoveringnbsp-and-ranking-bimod-a1579 |