The package takes a list of genes and predicts to which KEGG pathway each gene maps to. This is done by looking at the InterPro domains of each gene. Each prediction is assigned a confidence score. The package also allows to predict connected component membership of genes within signaling pathways. Separate models for each organism supported by KEGG can be trained.
| Author | Holger Froehlich , contributions by Tim Beissbarth |
| Maintainer | Holger Froehlich |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("gene2pathway")
| gene2pathway | R Script | |
|---|---|---|
| Reference Manual |
| biocViews | |
|---|---|
| Depends | |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Development History | Bioconductor Changelog |
| Package source | gene2pathway_1.2.0.tar.gz |
|---|---|
| Windows binary | gene2pathway_1.2.0.zip |
| MacOS X 10.4 (Tiger) binary | gene2pathway_1.2.0.tgz |
| MacOS X 10.5 (Leopard) binary | gene2pathway_1.2.0.tgz |
| Package Downloads Report | Downloads Stats |