BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-expression Analysis
| Main Author: | Wang, Duolin |
|---|---|
| Other Authors: | Wang, Juexin, Jiang, Yuexu |
| Format: | Dataset |
| Terbitan: |
Mendeley
, 2016
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| Subjects: | |
| Online Access: |
https:/data.mendeley.com/datasets/jdz4vtvnm3 |
Daftar Isi:
- 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.