GSRI
Gene Set Regulation Index
Bioconductor version: 2.9
The GSRI package estimates the number of differentially expressed genes in gene sets, utilizing the concept of the Gene Set Regulation Index (GSRI).
Author: Julian Gehring, Kilian Bartholome, Clemens Kreutz, Jens Timmer
Maintainer: Julian Gehring <julian.gehring at embl.de>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GSRI")
To cite this package in a publication, start R and enter:
citation("GSRI")
Documentation
| R Script | Introduction to the GSRI package: Estimating Regulatory Effects utilizing the Gene Set Regulation Index | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Microarray, Transcription, DifferentialExpression, Genetics, Bioinformatics |
| Depends | R (>= 2.13.2), fdrtool |
| Imports | methods, graphics, stats, utils, genefilter, Biobase, GSEABase, les(>= 1.1.6) |
| Suggests | limma, hgu95av2.db |
| System Requirements | |
| License | GPL-3 |
| URL | http://julian-gehring.github.com/GSRI/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 2.2.0 |
| Since | Bioconductor 2.6 (R-2.11) |
Package Downloads
| Package Source | GSRI_2.2.0.tar.gz |
| Windows Binary | GSRI_2.2.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | GSRI_2.2.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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