Papers: 10.1371/journal.pcbi.1006794
https://doi.org/10.1371/journal.pcbi.1006794
A complete statistical model for calibration of RNA-seq counts using external spike-ins and maximum likelihood theory
Cited by: 7
Author(s): Rodoniki Athanasiadou, Benjamin Neymotin, Nathan Brandt, Wei Wang, Lionel Christiaen, David Gresham, Daniel Tranchina
Published: over 6 years ago
Software Mentions 5
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
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bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
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bioconductor: Rsubread
Mapping, quantification and variant analysis of sequencing dataPapers that mentioned: 331
Very Likely Science (100)
Very Likely Science (100)