CRNET: An efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data. Supplementary information on CRNET: CRNET User Manual (V2.2) and CRNET R Scripts (V2.2)  

SparseIso: a novel Bayesian approach to identify alternatively spliced isoforms from RNA-seq data. The SparseIso package is available at Click Here  

DM-BLD: differential methylation detection using a hierarchical Bayesian model exploiting local dependency. Supplementary information on DM-BLD: DM-BLD User Manual (V2.0) and DM-BLD Package (V2.0)  

PSSV: A novel pattern-based probabilistic approach for somatic structural variation identification. Supplementary information on PSSV: PSSV User Manual (V2.1) and PSSV Package (V2.1)  

ChIP-BIT: Bayesian inference of target genes using a novel joint probabilistic model of ChIP-seq profiles. Supplementary information on ChIP-BIT: ChIP-BIT Manual (V2.0)ChIP-BIT Package (V2.0)PBX1_chr1.bam, and Input_chr1.bam  

BMRF-Net: a software tool for identification of protein interaction subnetworks by a bagging Markov random field-based method. The BMRF-Net package is available at Click Here  

BADGE: A novel Bayesian model for accurate abundance quantification and differential analysis of RNA-seq data. Supplementary information on BADGE: BADGE Manual and BADGE Package  

A bagging Markov random field (BMRF) approach for PPI subnetwork identification. Supplementary information on BMRF: BMRF Manual and BMRF Package  

Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic. Supplementary information – a Gibbs sampler on outlier sum statistic (GibbsOS): GibbsOS Manual and GibbsOS Package (Version 3) 

Multi-level Support Vector Regression (ml-SVR) Analysis to Identify Condition-Specific Regulatory Networks. Supplementary Information: free download ml-SVR software – ml-SVR Package  

Motif-guided Sparse Decomposition (mSD) of Gene Expression Data for Regulatory Module Identification. Supplementary Information: free download mSD software – mSD Package  

Coordinative Component Analysis (COCA). Supplementary Information on Coordinative Component Analysis (COCA): COCA Manual and COCA Package