Package: MCbiclust
Type: Package
Title: Massive correlating biclusters for gene expression data and associated
    methods
Version: 1.35.0
Date: 2024-02-02
Author: Robert Bentham
Maintainer: Robert Bentham <robert.bentham.11@ucl.ac.uk>
Description: Custom made algorithm and associated methods for finding,
        visualising and analysing biclusters in large gene expression
        data sets. Algorithm is based on with a supplied gene set of
        size n, finding the maximum strength correlation matrix
        containing m samples from the data set.
Depends:
    R (>= 3.4) 
Imports:
    BiocParallel,
    graphics,
    utils,
    stats,
    AnnotationDbi,
    GO.db,
    org.Hs.eg.db,
    GGally,
    ggplot2,
    scales,
    cluster,
    WGCNA
Suggests:
    gplots,
    knitr,
    rmarkdown,
    BiocStyle,
    gProfileR,
    MASS,
    dplyr,
    pander,
    devtools,
    testthat,
    GSVA
License: GPL-2
biocViews: ImmunoOncology, Clustering, Microarray, StatisticalMethod, Software, RNASeq, GeneExpression
RoxygenNote: 6.0.1
VignetteBuilder: knitr
LazyData: true
git_url: https://git.bioconductor.org/packages/MCbiclust
git_branch: devel
git_last_commit: 538a41b
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.23
