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 D & Hejblum BP (2017)
Variance component score test for time-course gene set analysis of longitudinal RNA-seq data,
Biostatistics, 18(4):589-604.
| Version: |
1.6.6 |
| Depends: |
R (≥ 3.0.2) |
| Imports: |
CompQuadForm, ggplot2, GSA, KernSmooth, stats, utils |
| Suggests: |
limma, edgeR, DESeq2, S4Vectors, knitr, rmarkdown, testthat, covr |
| Published: |
2018-01-15 |
| Author: |
Denis Agniel [aut],
Boris P. Hejblum [aut, cre] |
| 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 |