coGPS
cancer outlier Gene Profile Sets
Bioconductor version: 2.10
Gene Set Enrichment Analysis of P-value based statistics for outlier gene detection in dataset merged from multiple studies
Author: Yingying Wei, Michael Ochs
Maintainer: Yingying Wei <ywei at jhsph.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("coGPS")
To cite this package in a publication, start R and enter:
citation("coGPS")
Documentation
| R Script | coGPS | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bioinformatics, DifferentialExpression, Microarray, Software |
| Depends | R (>= 2.13.0) |
| Imports | graphics, grDevices |
| Suggests | limma |
| System Requirements | |
| License | GPL-2 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.0.0 |
| Since | Bioconductor 2.10 (R-2.15) |
Package Downloads
| Package Source | coGPS_1.0.0.tar.gz |
| Windows Binary | coGPS_1.0.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | coGPS_1.0.0.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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