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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GraphAT")
In most cases, you don't need to download the package archive at all.
GraphAT
Graph Theoretic Association Tests
Bioconductor version: 2.14
Functions and data used in Balasubramanian, et al. (2004)
Author: R. Balasubramanian, T. LaFramboise, D. Scholtens
Maintainer: Thomas LaFramboise <tlaframb at hsph.harvard.edu>
Citation (from within R,
enter citation("GraphAT")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("GraphAT")
Documentation
| Reference Manual |
Details
| biocViews | GraphAndNetwork, Network, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | LGPL |
| Depends | R (>= 2.10), graph, methods |
| Imports | graph, MCMCpack, methods, stats |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | GraphAT_1.36.0.tar.gz |
| Windows Binary | GraphAT_1.36.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | GraphAT_1.36.0.tgz |
| Mac OS X 10.9 (Mavericks) | GraphAT_1.36.0.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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