Gene regulatory network reconstruction from pseudotemporal single-cell gene expression data

Integrative analysis workshop with TCGAbiolinks and ELMER

An R package designed to integrate and visualize various levels of epigenomic information, including but not limited to: ChIP, Histone, ATAC, and RNA sequencing. epiRomics is also designed to identify enhancer and enhanceosome regions from these data.

Context-sensitive creation of kinetic equations in biochemical networks

doRiNa - database of posttranscriptional regulatory elements

MSLCRN: a novel step-wise method for inferring module-specific lncRNA-mRNA causal regulatory network in human cancer

A package that ranks the SNPs using genomic, epigenomic and network based features.

CMTCN: A web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks

ASP-based attractor computation

Supplemental scripts and analyses for the SINGE manuscript

Hub and Spoke Landing Zone for either Azure Commercial or Azure Government scenarios.

A novel insight into neurological disorders through HDAC6 protein-protein interactions

Python Implementation of PROM

A minimal Python library for gene regulatory network inference.

Identification and classification of network fibers for general information networks. (C/Python)

Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.