Papers: 10.1371/journal.pcbi.1008473
https://doi.org/10.1371/journal.pcbi.1008473
A joint modeling approach for longitudinal microbiome data improves ability to detect microbiome associations with disease
Cited by: 7
Author(s): Pamela N. Luna, Jonathan M. Mansbach, Chad A. Shaw
Published: over 5 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: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
Very Likely Science (83)
Very Likely Science (93)
Very Likely Science (90)