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Papers: 10.3390/bios3030238

https://doi.org/10.3390/bios3030238

A Comparison of Methods for RNA-Seq Differential Expression Analysis and a New Empirical Bayes Approach

Cited by: 20
Author(s): Sergiusz Wesołowski, Marc R. Birtwistle, Grzegorz A. Rempała
Published: about 12 years ago

Software Mentions 7

bioconductor: DSS
Dispersion shrinkage for sequencing data
Papers that mentioned: 288
Very Likely Science (91)
bioconductor: EBarrays
Unified Approach for Simultaneous Gene Clustering and Differential Expression Identification
Papers that mentioned: 26
Very Likely Science (100)
bioconductor: EBSeq
An R package for gene and isoform differential expression analysis of RNA-seq data
Papers that mentioned: 261
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: SAM
Sparse Additive Modelling
Papers that mentioned: 4,566
Very Likely Science (85)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)