Papers: 10.1093/bioinformatics/btu274
https://doi.org/10.1093/bioinformatics/btu274
Methods for time series analysis of RNA-seq data with application to human Th17 cell differentiation
Cited by: 64
Author(s): Tarmo Äijö, Vincent Butty, Zhi Chen, Verna Salo, Subhash Tripathi, Christopher B. Burge, Riitta Lahesmaa, Harri Lähdesmäki
Published: about 11 years ago
Software Mentions 4
bioconductor: baySeq
Empirical Bayesian analysis of patterns of differential expression in count dataPapers that mentioned: 139
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568
Very Likely Science (100)
bioconductor: maSigPro
Significant Gene Expression Profile Differences in Time Course Gene Expression DataPapers that mentioned: 119
Very Likely Science (100)
Very Likely Science (65)