Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples.
Bioconductor version: Release (3.20). DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.
Wang,L.K. and et al. (2010) DEGseq: an R package for identifying differentially expressed genes from RNA-seq data, Bioinformatics 26, 136 - ...
This function is used to identify differentially expressed genes from RNA-seq data. It takes uniquely mapped reads from RNA-seq data for the two samples ...
Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we ...
DGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples is presented, integrated three existing ...
DEGseq: Identify Differentially Expressed Genes from RNA-seq data. DEGseq is an R package to identify differentially expressed genes from RNA-Seq data.
Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we ...
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What is the R package for differential gene expression?
What is DEGseq?
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What is differential gene expression from RNA-seq data?
Here we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we ...
This function is used to identify differentially expressed genes from RNA-seq data. It takes uniquely mapped reads from RNA-seq data for the two samples ...