DOI: 10.18129/B9.bioc.consensusOV    

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

Bioconductor version: Release (3.6)

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, Lavanya Kannan, Ludwig Geistlinger, Victor Kofia, Levi Waldron, Benjamin Haibe-Kains

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

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


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HTML R Script Molecular subtyping for ovarian cancer
PDF   Reference Manual


biocViews Classification, Clustering, DifferentialExpression, GeneExpression, Microarray, Software, Transcriptomics
Version 1.0.0
License Artistic-2.0
Depends R (>= 3.4)
Imports Biobase, GSVA, gdata, genefu, limma, matrixStats, randomForest, stats, utils
Suggests knitr, ggplot2
Depends On Me
Imports Me
Suggests Me
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