Package: M3C
Title: Monte Carlo Reference-based Consensus Clustering
Version: 1.34.0
Author: Christopher John, David Watson
Maintainer: Christopher John <chris.r.john86@gmail.com>
Description: M3C is a consensus clustering algorithm that uses a Monte
        Carlo simulation to eliminate overestimation of K and can
        reject the null hypothesis K=1.
Depends: R (>= 3.5.0)
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: ggplot2, Matrix, doSNOW, cluster, parallel, foreach,
        doParallel, matrixcalc, Rtsne, corpcor, umap
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.0.1
biocViews: Clustering, GeneExpression, Transcription, RNASeq,
        Sequencing, ImmunoOncology
Config/pak/sysreqs: libpng-dev libssl-dev python3
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:46:11 UTC
RemoteUrl: https://github.com/bioc/M3C
RemoteRef: RELEASE_3_23
RemoteSha: 81afb910bc7ea2e0fb3863a71748dab0bae1a7cd
NeedsCompilation: no
Packaged: 2026-07-02 07:21:05 UTC; root