Package: trena
Type: Package
Title: Fit transcriptional regulatory networks using gene expression,
        priors, machine learning
Version: 1.4.2
Date: 2018-11-18
Author: Seth Ament <seth.ament@systemsbiology.org>, Paul Shannon <pshannon@systemsbioloyg.org>, Matthew Richards <mrichard@systemsbiology.org>
Maintainer: Paul Shannon <paul.thurmond.shannon@gmail.com>
Imports: RSQLite, lassopv, randomForest, flare, vbsr, BiocParallel,
        RPostgreSQL, RMariaDB, 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
Depends: R (>= 3.4.0), utils, glmnet (>= 2.0.3), MotifDb (>= 1.19.17)
Suggests: RUnit, plyr, knitr, BiocGenerics, rmarkdown
VignetteBuilder: knitr
Description: Methods for reconstructing transcriptional regulatory networks, especially in species
    for which genome-wide TF binding site information is available.
License: GPL-3
biocViews: Transcription, GeneRegulation, NetworkInference,
        FeatureExtraction, Regression, SystemsBiology, GeneExpression
Collate: 'Solver.R' 'BayesSpikeSolver.R' 'CandidateFilter.R'
        'EnsembleSolver.R' 'FootprintFinder.R' 'FootprintFilter.R'
        'GeneOntologyFilter.R' 'HumanDHSFilter.R' 'LassoPVSolver.R'
        'LassoSolver.R' 'MotifMatcher.R' 'PCAMax.R' 'PearsonSolver.R'
        'RandomForestSolver.R' 'RidgeSolver.R' 'SpearmanSolver.R'
        'SqrtLassoSolver.R' 'Trena.R' 'VarianceFilter.R' 'help.R'
        'sharedFunctions.R' 'utils.R'
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/trena
git_branch: RELEASE_3_8
git_last_commit: 927f446
git_last_commit_date: 2018-11-18
Date/Publication: 2018-11-18
NeedsCompilation: no
Packaged: 2018-11-19 02:43:52 UTC; biocbuild
Built: R 3.5.1; ; 2018-12-30 22:07:51 UTC; unix
