To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("joda")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
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:
## try http if https is not available source("https://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 | GraphAndNetwork, Microarray, NetworkInference, Pathways, Software, StatisticalMethod |
Version | 1.16.0 |
In Bioconductor since | BioC 2.8 (R-2.13) (4.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.0), bgmm, RBGL |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.bioconductor.org |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | joda_1.16.0.tar.gz |
Windows Binary | joda_1.16.0.zip |
Mac OS X 10.6 (Snow Leopard) | joda_1.16.0.tgz |
Mac OS X 10.9 (Mavericks) | joda_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/joda/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/joda/ |
Package Downloads Report | Download Stats |
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