gagneurlab/OUTRIDER: OUTRIDER - OUTlier in RNA-Seq fInDER
Version 0.99.26

Identification of aberrent gene expression in RNA-seq data. Read count expectations are modeled by an autoencoder to control for confounders in the data. Given these expectations, the RNA-seq read counts are assumed to follow a negative binomial distribution with a gene-specific dispersion. Outliers are then identified as read counts that significantly deviate from this distribution. Further OUTRIDER provides useful plotting function to analyze and visualize the results.

Getting started

Package details

AuthorFelix Brechtmann [aut, cre], Christian Mertes [aut, cre], Ange Matuseviciute [aut, cre], Vicente Yepez [aut], Julien Gagneur [aut]
Bioconductor views Alignment GeneExpression Genetics RNASeq Sequencing Transcriptomics
MaintainerChristian Mertes <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
gagneurlab/OUTRIDER documentation built on July 16, 2018, 9:01 p.m.