BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-expression Analysis
收藏Mendeley Data2016-06-28 更新2026-04-09 收录
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https://data.mendeley.com/datasets/jdz4vtvnm3/1
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资源简介：
BFDCA is a comprehensive tool of using Bayes factor for Differential Co-expression (DC) analysis. This package contains three main functions: (1) clustering condition-specific genes into functional DC subunits; (2) quantitatively characterizing the regulatory impact of genes based on their differential connectivity within DC structures; (3) providing a DC-based prediction model to predict case/control phenotypes by taking DC significant gene pairs as markers.
创建时间：
2016-06-28
