trena

DOI: 10.18129/B9.bioc.trena  

This is the development version of trena; for the stable release version, see trena.

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

Bioconductor version: Development (3.18)

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: Paul Shannon <paul.thurmond.shannon at gmail.com>

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

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("trena")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews FeatureExtraction, GeneExpression, GeneRegulation, NetworkInference, Regression, Software, SystemsBiology, Transcription
Version 1.23.0
In Bioconductor since BioC 3.6 (R-3.4) (5.5 years)
License GPL-3
Depends R (>= 3.5.0), utils, glmnet (>= 2.0.3), MotifDb(>= 1.19.17)
Imports RSQLite, RMySQL, lassopv, randomForest, xgboost, RPostgreSQL, methods, DBI, BSgenome, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Mmusculus.UCSC.mm10, SNPlocs.Hsapiens.dbSNP150.GRCh38, org.Hs.eg.db, Biostrings, GenomicRanges, biomaRt, AnnotationDbi, WGCNA
LinkingTo
Suggests RUnit, plyr, knitr, BiocGenerics, rmarkdown, formatR, markdown, BiocParallel, BSgenome.Scerevisiae.UCSC.sacCer3, BSgenome.Athaliana.TAIR.TAIR9
SystemRequirements
Enhances
URL https://pricelab.github.io/trena/
BugReports https://github.com/PriceLab/trena/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/trena
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/trena
Package Short Url https://bioconductor.org/packages/trena/
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