Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)
-
Updated
Jul 26, 2015 - R
Wrapper R scripts for performing a weighted-gene co-expression network analysis (WGCNA)
Construction of Gene Expression Network across 3 brain regions in the presence of Ethanol using WGCNA in R
Code for the (unpublished) paper ( Regulation of autophagy in response to oxidative stress)
Algorithms for NCBI, SRA, EBI datasets recommendation and how to get around with comparing your own Datasets. Recommender systems | Bio-NLP
The Summer_WGCNA_Discussion repository contains scripts that can perform weighted gene correlation network analysis (WGCNA).
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
This repository contains a Script for WGCNA based on the Tutorial of WGCNA page
Code for Walker, Saunders, Rai et al., (2021).
A step-by-step tutorial for Weighted correlation 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.
Experimental code for analysis of miRNA expression in C2C12 vs. in vivo mice cells
Add a description, image, and links to the wgcna topic page so that developers can more easily learn about it.
To associate your repository with the wgcna topic, visit your repo's landing page and select "manage topics."