shiny app for WGCNA...

An R package for weighted region comethylation network analysis

Online app for WGCNA Analysis

Construction of Gene Expression Network across 3 brain regions in the presence of Ethanol using WGCNA in R

Weighted Gene Co-expression Network Analysis;

Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)

Repository for all R scripts and results associated with my research dissertation for the MSc Bioinformatics and Computational Biology degree in University College Cork, 2022.

Multivariate Analysis Using Co-Expression Network Modeling Identifies Specific Inflammation and Diffusion MRI Features in Major Depressive Disorder

Code for the (unpublished) paper ( Regulation of autophagy in response to oxidative stress)

Analysis of PDX BC Dataset for WGCNA module preservation

WGCNA meta-analysis of two breast cancer datasets

Investigate the role of mtDNA in the sex determination/development of Potamilus streckersoni, a freshwater mussel with doubly uniparental mitochondrial inheritance. Scripts for DESeq2, WGCNA, GSEA, AlphaFold/AlphaPulldown, and mt-sncRNA validation.

The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).

Personalized, annotated code for anyone working with RNA-seq data.

Code of my master project using WGCNA.