bioconda / packages / bioconductor-dexus 1.28.0

DEXUS - Identifying Differential Expression in RNA-Seq Studies with Unknown Conditions or without Replicates

Installers

Info: This package contains files in non-standard labels.

conda install

  • linux-64  v1.28.0
  • osx-64  v1.28.0
To install this package with conda run one of the following:
conda install -c bioconda bioconductor-dexus
conda install -c bioconda/label/gcc7 bioconductor-dexus
conda install -c bioconda/label/cf201901 bioconductor-dexus

Description

DEXUS identifies differentially expressed genes in RNA-Seq data under all possible study designs such as studies without replicates, without sample groups, and with unknown conditions. DEXUS works also for known conditions, for example for RNA-Seq data with two or multiple conditions. RNA-Seq read count data can be provided both by the S4 class Count Data Set and by read count matrices. Differentially expressed transcripts can be visualized by heatmaps, in which unknown conditions, replicates, and samples groups are also indicated. This software is fast since the core algorithm is written in C. For very large data sets, a parallel version of DEXUS is provided in this package. DEXUS is a statistical model that is selected in a Bayesian framework by an EM algorithm. DEXUS does not need replicates to detect differentially expressed transcripts, since the replicates (or conditions) are estimated by the EM method for each transcript. The method provides an informative/non-informative value to extract differentially expressed transcripts at a desired significance level or power.

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