gevaertlab/AMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression.

Module network discovery using gene expression, CNV, and methylation data.

Getting started

Package details

AuthorJayendra Shinde, Celine Everaert, Shaimaa Bakr, Mohsen Nabian Nathalie Pochet and Olivier Gevaert
Bioconductor views AlternativeSplicing BatchEffect Bayesian Clustering CopyNumberVariation DataImport DifferentialExpression DifferentialMethylation DifferentialSplicing ExonArray GeneExpression GeneRegulation GeneSetEnrichment MethylationArray MicroRNAArray Microarray MultipleComparison Network Normalization OneChannel Preprocessing ProprietaryPlatforms QualityControl RNASeq Regression Sequencing StatisticalMethod TimeCourse Transcription TwoChannel mRNAMicroarray
MaintainerOlivier Gevaert <[email protected]>
LicenseMIT + file LICENSE
Version0.99.15
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("gevaertlab/AMARETTO")
gevaertlab/AMARETTO documentation built on Feb. 19, 2019, 4:15 a.m.