Package: M3C
Title: Monte Carlo Reference-based Consensus Clustering
Version: 1.35.0
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: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:46:11 UTC
RemoteUrl: https://github.com/bioc/M3C
RemoteRef: HEAD
RemoteSha: 38ef2c3296b5f367220b29bd142e1a32ff487172
NeedsCompilation: no
Packaged: 2026-07-04 23:17:08 UTC; root