diceR specifications


Unique identifier OMICS_26106
Name diceR
Alternative name diverse cluster ensemble in R
Software type Framework/Library, Package/Module
Interface Command line interface
Restrictions to use None
Input data A data frame with rows as samples and columns as features.
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License MIT License
Computer skills Advanced
Version 0.5.1
Stability Stable
methods, RColorBrewer, gplots, testthat, grDevices, Rcpp, dplyr, ggplot2, rmarkdown, knitr, cluster, clValid, class, mclust, Hmisc, abind, stringr, tidyr, magrittr, covr, e1071, pander, kohonen, caret, apcluster, sigclust, clue, tibble, Rtsne, NMF, infotheo, kernlab, assertthat, progress, RankAggreg, klaR, R(≥3.1), blockcluster, cli, clusterCrit, dbscan, flux, purrr(≥0.2.3), quantable
Maintained Yes


No version available



  • person_outline Aline Talhouk
  • person_outline Derek Chiu

Additional information


Publication for diverse cluster ensemble in R

diceR institution(s)
Department of Molecular Oncology, BC Cancer Agency, Vancouver, BC, Canada; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
diceR funding source(s)
Supported by donor funds to OVCARE from the Vancouver General Hospital and University of British Columbia Hospital Foundation and the BC Cancer Foundation.

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