wyguo/RLowPCor: Inference of co-expression gene network using relevance low order partial correlation from large scale expression data
Version 0.1

This package is used to infer and evaluate first order, secnod order, low order and relevace low ordr partial correlation (RLowPC) from large scale gene expression data. For each pair of genes, the general partial correlation is calculated by removing all the remained controls. However, in large network a number of remained controls may not truely connect to the pair of genes, which are inrrelevant controls. To increase the precision of network predictions, we use RLowPC method to calculated partial correlation by only removing the more relevant controls.

Getting started

Package details

AuthorWenbin Guo <[email protected]>
MaintainerWenbin Guo <[email protected]>
LicenseGPL-3
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("wyguo/RLowPCor")
wyguo/RLowPCor documentation built on May 28, 2017, 7:34 a.m.