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.
|Author||Felix 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|
|Maintainer||Christian Mertes <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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