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GeneMeta
MetaAnalysis for High Throughput Experiments
Bioconductor version: 2.5
A collection of meta-analysis tools for analysing high throughput experimental data
Author: Lara Lusa <lusa at ifom-firc.it>, R. Gentleman, M. Ruschhaupt
Maintainer: Biocore Team c/o BioC user list <bioconductor at stat.math.ethz.ch>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GeneMeta")
To cite this package in a publication, start R and enter:
citation("GeneMeta")
Documentation
| R Script | GeneMeta Vignette | |
| Reference Manual |
Details
| biocViews | Bioinformatics |
| Depends | R (>= 2.5.0), methods, Biobase(>= 2.5.5), genefilter |
| Imports | methods, Biobase(>= 2.5.5) |
| Suggests | |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | XDE |
| Version | 1.18.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
| Package Source | GeneMeta_1.18.0.tar.gz |
| Windows Binary | GeneMeta_1.18.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | GeneMeta_1.18.0.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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