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

Bioconductor version: Release (3.19)

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.

Author: Gregory M Chen [aut], Lavanya Kannan [aut], Ludwig Geistlinger [aut], Victor Kofia [aut], Levi Waldron [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre]

Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at>

Citation (from within R, enter citation("consensusOV")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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Molecular subtyping for ovarian cancer HTML R Script
Reference Manual PDF


biocViews Classification, Clustering, DifferentialExpression, GeneExpression, Microarray, Software, Transcriptomics
Version 1.26.0
In Bioconductor since BioC 3.6 (R-3.4) (6.5 years)
License Artistic-2.0
Depends R (>= 3.6)
Imports Biobase, GSVA(>= 1.50.0), gdata, genefu, limma, matrixStats, randomForest, stats, utils, methods, BiocParallel
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Source Package consensusOV_1.26.0.tar.gz
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