Papers: 10.1371/journal.pcbi.1005515
https://doi.org/10.1371/journal.pcbi.1005515
Mixture models reveal multiple positional bias types in RNA-Seq data and lead to accurate transcript concentration estimates
Cited by: 17
Author(s): Andreas Tuerk, Gregor Wiktorin, Serhat Güler
Published: over 9 years ago
Software Mentions 6
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: NOISeq
Exploratory analysis and differential expression for RNA-seq dataPapers that mentioned: 321
Very Likely Science (100)
Very Likely Science (85)