ZacharyDeBruine/WGCCNA: Weighted Gene Coexpression Correlation Network Analysis

Analysis of gene pair coexpression correlations across a trajectory of Louvain clustering resolutions.Deep learning algorithms interpret trajectory statistics to compute scores for coexpression that approximate the likelihood of protein- protein interaction. Receives a Seurat object as input, and outputs correlation matrices for use with WGCNA.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.0.0.9000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ZacharyDeBruine/WGCCNA")
ZacharyDeBruine/WGCCNA documentation built on Dec. 16, 2019, 12:33 a.m.