To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("joda")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Package 'joda' implements three steps of an algorithm called JODA. The algorithm computes gene deregulation scores. For each gene, its deregulation score reflects how strongly an effect of a certain regulator's perturbation on this gene differs between two different cell populations. The algorithm utilizes regulator knockdown expression data as well as knowledge about signaling pathways in which the regulators are involved (formalized in a simple matrix model).
Author: Ewa Szczurek
Maintainer: Ewa Szczurek <szczurek at molgen.mpg.de>
Citation (from within R,
enter citation("joda")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("joda")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("joda")
R Script | Introduction to joda | |
Reference Manual |
biocViews | GraphsAndNetworks, Microarray, NetworkInference, Pathways, Software, Statistics |
Version | 1.10.0 |
In Bioconductor since | BioC 2.8 (R-2.13) |
License | GPL (>= 2) |
Depends | R (>= 2.0), bgmm, RBGL |
Imports | |
Suggests | |
System Requirements | |
URL | http://www.bioconductor.org |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | joda_1.10.0.tar.gz |
Windows Binary | joda_1.10.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | joda_1.10.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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