Papers: 10.1186/s12859-020-3399-8
https://doi.org/10.1186/s12859-020-3399-8
iSeqQC: a tool for expression-based quality control in RNA sequencing
Cited by: 15
Author(s): Gaurav Kumar, Adam Ertel, George J. Feldman, Joan Kupper, Paolo Fortina
Published: over 5 years ago
Software Mentions 6
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
Very Likely Science (100)
bioconductor: EDASeq
Exploratory Data Analysis and Normalization for RNA-SeqPapers that mentioned: 61
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 (100)
Very Likely Science (80)