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consensusOV

Gene expression-based subtype classification for high-grade serous ovarian cancer

Bioconductor version: 3.24 · Package version: 1.35.0

This package implements four major subtype classifiers for high-grade serous (HGS) ovarian cancer as described by Helland et al. (PLoS One, 2011), Bentink et al. (PLoS One, 2012), Verhaak et al. (J Clin Invest, 2013), and Konecny et al. (J Natl Cancer Inst, 2014). In addition, the package implements a consensus classifier, which consolidates and improves on the robustness of the proposed subtype classifiers, thereby providing reliable stratification of patients with HGS ovarian tumors of clearly defined subtype.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("consensusOV")

Details

MaintainerBenjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
AuthorGregory M Chen [aut], Lavanya Kannan [aut], Ludwig Geistlinger [aut], Victor Kofia [aut], Levi Waldron [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre]
LicenseArtistic-2.0
URLhttp://www.pmgenomics.ca/bhklab/software/consensusOV
Bug Reportshttps://github.com/bhklab/consensusOV/issues
Downloads rank549
Source branchdevel
biocViewsClassification, Clustering, DifferentialExpression, GeneExpression, Microarray, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageconsensusOV_1.35.0.tar.gz
Windows binary (x86_64)consensusOV_1.35.0.zip
macOS binary (arm64)consensusOV_1.35.0.tgz
macOS binary (x86_64)consensusOV_1.35.0.tgz
Dependencies

Depends: R (>= 3.6)

Imports: Biobase, GSVA (>= 1.50.0), gdata, genefu, limma, matrixStats, randomForest, stats, utils, methods, BiocParallel

Suggests: BiocStyle, ggplot2, knitr, rmarkdown, magick

Reverse dependencies

Imports Me (1): signifinder