Bioconductor version: Release (2.11)
R package providing functions to peform gene-set significance analysis over simple cross-sectional or time series data designs.
Author: Alejandro Quiroz-Zarate and John Quackenbush
Maintainer: Alejandro Quiroz-Zarate <aquiroz at hsph.harvard.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("GeneGroupAnalysis")
To cite this package in a publication, start R and enter:
citation("GeneGroupAnalysis")
R Script | GeneGroupAnalysis: a package for performance assessment and comparison for survival analysis | |
Reference Manual | ||
Text | NEWS |
biocViews | CrossSectional, DifferentialExpression, GeneExpression, MultipleComparisons, Software, TimeCourse |
Version | 1.4.0 |
In Bioconductor since | BioC 2.10 (R-2.15) |
License | Artistic-2.0 |
Depends | R (>= 2.10), MCMCpack, GO.db, breastCancerVDX, rheumaticConditionWOLLBOLD, hgu133a.db, hgu133plus2.db |
Imports | AnnotationDbi, annotate, tcltk |
Suggests | |
System Requirements | |
URL | http://compbio.dfci.harvard.edu/ |
Depends On Me | |
Imports Me | |
Suggests Me |
Package Source | GeneGroupAnalysis_1.4.0.tar.gz |
Windows Binary | GeneGroupAnalysis_1.4.0.zip (32- & 64-bit) |
MacOS 10.5 (Leopard) | GeneGroupAnalysis_1.4.0.tgz |
Package Downloads Report | Download Stats |
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