Add to ORKGDescription This package can be used to simulate RNA-seq reads from differential expression experiments with replicates. The reads can then be aligned and used to perform comparisons of methods for differential expression. VignetteBuilder knit
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
BackgroundSeveral R packages exist for the detection of differentially expressed genes from RNA-Seq ...
Motivation: Statistical methods development for differential expression analysis of RNA sequencing (...
Title An R package for gene and isoform differential expression analysis of RNA-seq data Version 1.4...
Motivation: Statistical methods development for differential expression analysis of RNA sequenc-ing ...
As a revolutionary technology for life sciences, RNA-seq has many applications and the computation p...
Simulated RNA-seq data shows that histograms from p value sets with around one hundred true effects...
Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detec...
RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas ...
International audienceBackgroundSeveral R packages exist for the detection of differentially express...
This document gives an overview of the R package tweeDEseq, which provides statistical proce-dures f...
© 2013 Dr. Yunshun ChenAs the cost of DNA sequencing decreases, sequencing technologies become more ...
Enhances parallel Description The package is focused on finding differential exon usage using RNA-se...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
BackgroundSeveral R packages exist for the detection of differentially expressed genes from RNA-Seq ...
Motivation: Statistical methods development for differential expression analysis of RNA sequencing (...
Title An R package for gene and isoform differential expression analysis of RNA-seq data Version 1.4...
Motivation: Statistical methods development for differential expression analysis of RNA sequenc-ing ...
As a revolutionary technology for life sciences, RNA-seq has many applications and the computation p...
Simulated RNA-seq data shows that histograms from p value sets with around one hundred true effects...
Many methods and tools are available for preprocessing high-throughput RNA sequencing data and detec...
RNA sequencing (RNA-seq) has been rapidly adopted for the profiling of transcriptomes in many areas ...
International audienceBackgroundSeveral R packages exist for the detection of differentially express...
This document gives an overview of the R package tweeDEseq, which provides statistical proce-dures f...
© 2013 Dr. Yunshun ChenAs the cost of DNA sequencing decreases, sequencing technologies become more ...
Enhances parallel Description The package is focused on finding differential exon usage using RNA-se...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow using Biocond...
BackgroundSeveral R packages exist for the detection of differentially expressed genes from RNA-Seq ...