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## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TReNA")

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TReNA

DOI: 10.18129/B9.bioc.TReNA    

Fit transcriptional regulatory networks using gene expression, priors, machine learning

Bioconductor version: Release (3.6)

Methods for reconstructing transcriptional regulatory networks, especially in species for which genome-wide TF binding site information is available.

Author: Seth Ament <seth.ament at systemsbiology.org>, Paul Shannon <pshannon at systemsbioloyg.org>, Matthew Richards <mrichard at systemsbiology.org>

Maintainer: Matthew Richards <mrichard at systemsbiology.org>

Citation (from within R, enter citation("TReNA")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("TReNA")

Documentation

HTML R Script A Brief Introduction to TReNA
PDF   Reference Manual
Text   NEWS

Details

biocViews FeatureExtraction, GeneExpression, GeneRegulation, NetworkInference, Regression, Software, SystemsBiology, Transcription
Version 0.99.10
License GPL-3
Depends R (>= 3.4.0), utils, glmnet (>= 2.0.3)
Imports RSQLite, lassopv, randomForest, flare, vbsr, foreach, doParallel, RPostgreSQL, methods, DBI, GenomicRanges
LinkingTo
Suggests RUnit, limma, plyr, knitr, BiocGenerics, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package TReNA_0.99.10.tar.gz
Windows Binary TReNA_0.99.10.zip
Mac OS X 10.11 (El Capitan) TReNA_0.99.10.tgz
Source Repository git clone https://git.bioconductor.org/packages/TReNA
Package Short Url http://bioconductor.org/packages/TReNA/
Package Downloads Report Download Stats

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