MalathiSIDona/pathDESeq: Pathway-Based Differential Expression Analysis for RNA-Seq Data
Version 1.0.1

A pathway-based approach of Differential Expression analysis for RNA-Seq gene expression data. The statistical methodology is based on a Poisson-Gamma-Beta Markov Random Field model including Maximum Likelihood Estimators (MLE's), Method of Moment (MoM) for model parameter estimation and Iterative Conditional Mode (ICM) algorithm to determine parameter convergence. This package requires RNA-Seq normalized count data (e.g., in FPKM or RPKM format) as its input.

Getting started

Package details

AuthorMalathi S.I. Dona<[email protected]>, Agus Salim<[email protected]>
MaintainerMalathi S.I. Dona<[email protected]>
LicenseGPL (>=2)
Version1.0.1
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("MalathiSIDona/pathDESeq")
MalathiSIDona/pathDESeq documentation built on May 10, 2017, 4:06 a.m.