PANR
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations
Bioconductor version: 2.9
This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.
Author: Xin Wang <Xin.Wang at cancer.org.uk>
Maintainer: Xin Wang <Xin.Wang at cancer.org.uk>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PANR")
To cite this package in a publication, start R and enter:
citation("PANR")
Documentation
| fullPAN.pdf | ||
| R Script | Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | |
| pvmodule.pdf | ||
| sigmod.pdf | ||
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Visualization, GraphsAndNetworks, Clustering, CellBasedAssays |
| Depends | R (>= 2.14) |
| Imports | graphics, grDevices, igraph, MASS, methods, pvclust, stats, utils |
| Suggests | snow, RedeR |
| System Requirements | |
| License | Artistic-2.0 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | RedeR |
| Version | 1.0.2 |
| Since | Bioconductor 2.9 (R-2.14) |
Package Downloads
| Package Source | PANR_1.0.2.tar.gz |
| Windows Binary | PANR_1.0.2.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | PANR_1.0.2.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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