Analyze RNA-seq data with variance component score test accounting
for data heteroscedasticity through precision weights. Perform both gene-wise and gene set
analyses, and can deal with longitudinal data. Method is detailed in: Agniel & Hejblum
(2017) <doi:10.1093/biostatistics/kxx005>, Variance component score test for
time-course gene set analysis of longitudinal RNA-seq data, Biostatistics, 18(4):589-604.
| Version: |
2.0.5 |
| Depends: |
R (≥ 3.0.2) |
| Imports: |
CompQuadForm, ggplot2, graphics, GSA, KernSmooth, parallel, pbapply, stats, statmod, utils |
| Suggests: |
limma, edgeR, DESeq2, S4Vectors, knitr, rmarkdown, testthat, covr |
| Published: |
2020-09-10 |
| Author: |
Denis Agniel [aut],
Boris P. Hejblum [aut, cre],
Marine Gauthier [aut] |
| Maintainer: |
Boris P. Hejblum <boris.hejblum at u-bordeaux.fr> |
| BugReports: |
https://github.com/denisagniel/tcgsaseq/issues |
| License: |
GPL-2 | file LICENSE |
| NeedsCompilation: |
no |
| Citation: |
tcgsaseq citation info |
| Materials: |
README NEWS |
| CRAN checks: |
tcgsaseq results |