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trena

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see trena.

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


Bioconductor version: Release (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")

BiocManager::install("trena")

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

Documentation

Reference Manual PDF

Details

biocViews FeatureExtraction, GeneExpression, GeneRegulation, NetworkInference, Regression, Software, SystemsBiology, Transcription
Version 1.24.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 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
System Requirements
URL https://pricelab.github.io/trena/
Bug Reports https://github.com/PriceLab/trena/issues
See More
Suggests RUnit, plyr, knitr, BiocGenerics, rmarkdown, formatR, markdown, BiocParallel, BSgenome.Scerevisiae.UCSC.sacCer3, BSgenome.Athaliana.TAIR.TAIR9
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Package Archives

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

Source Package
Windows Binary trena_1.24.0.zip
macOS Binary (x86_64) trena_1.24.0.tgz
macOS Binary (arm64) trena_1.24.0.tgz
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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