GSEAlm
Linear Model Toolset for Gene Set Enrichment Analysis
Bioconductor version: 2.5
Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.
Author: Assaf Oron, Robert Gentleman (with contributions from S. Falcon and Z. Jiang)
Maintainer: Assaf Oron <assaf.oron at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GSEAlm")
To cite this package in a publication, start R and enter:
citation("GSEAlm")
Documentation
| R Script | Linear models in GSEA | |
| Reference Manual |
Details
| biocViews | Microarray, Bioinformatics |
| Depends | Biobase |
| Imports | |
| Suggests | GSEABase, Category, multtest, ALL, annotate, hgu95av2.db, genefilter, GOstats, RColorBrewer |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.6.0 |
| Since | Bioconductor 2.2 (R-2.7) |
Package Downloads
| Package Source | GSEAlm_1.6.0.tar.gz |
| Windows Binary | GSEAlm_1.6.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | GSEAlm_1.6.0.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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