statpng/CTGSA: CTGSA : Covariance Thresholding for Gene Set Analysis of Genetic Pathway Data

There have been many studies to reveal the outcome related genes associated with a disease or a trait. Unlike the methods to compare the gene expression levels with mean scale, our study is focusing the coexpression of genes by regulatory factors in a gene set. We propose the CTGSA which calculates a statistic with thresholded correlation matrix and gives the selection of tuning parameter through percentile of correlations. It also calculates p-values which control the type I error rate.

Getting started

Package details

AuthorMingyu Oh
MaintainerKipoong Kim <>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
statpng/CTGSA documentation built on Jan. 17, 2020, 2:03 p.m.