BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-expression Analysis
收藏NIAID Data Ecosystem2026-03-09 收录
官方服务：
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
