To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PANR")
In most cases, you don't need to download the package archive at all.
PANR
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations
Bioconductor version: 2.14
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>
Citation (from within R,
enter citation("PANR")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PANR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PANR")
| R Script | Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | CellBasedAssays, Clustering, GraphAndNetwork, NetworkInference, Software, Visualization |
| Version | 1.10.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) |
| License | Artistic-2.0 |
| Depends | R (>= 2.14), igraph |
| Imports | graphics, grDevices, MASS, methods, pvclust, stats, utils |
| Suggests | snow, RedeR |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | Mulder2012 |
| Suggests Me | RedeR |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | PANR_1.10.0.tar.gz |
| Windows Binary | PANR_1.10.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | PANR_1.10.0.tgz |
| Mac OS X 10.9 (Mavericks) | PANR_1.10.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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