Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer

DMA Gendoo, N Ratanasirigulchai, MS Schröder… - …, 2016 - academic.oup.com
Bioinformatics, 2016academic.oup.com
Breast cancer is one of the most frequent cancers among women. Extensive studies into the
molecular heterogeneity of breast cancer have produced a plethora of molecular subtype
classification and prognosis prediction algorithms, as well as numerous gene expression
signatures. However, reimplementation of these algorithms is a tedious but important task to
enable comparison of existing signatures and classification models between each other and
with new models. Here, we present the genefu R/Bioconductor package, a multi-tiered …
Abstract
Summary: Breast cancer is one of the most frequent cancers among women. Extensive studies into the molecular heterogeneity of breast cancer have produced a plethora of molecular subtype classification and prognosis prediction algorithms, as well as numerous gene expression signatures. However, reimplementation of these algorithms is a tedious but important task to enable comparison of existing signatures and classification models between each other and with new models. Here, we present the genefu R/Bioconductor package, a multi-tiered compendium of bioinformatics algorithms and gene signatures for molecular subtyping and prognostication in breast cancer.
Availability and implementation: The genefu package is available from Bioconductor. http://www.bioconductor.org/packages/devel/bioc/html/genefu.html. Source code is also available on Github https://github.com/bhklab/genefu.
Contact:  bhaibeka@uhnresearch.ca
Supplementary information:  Supplementary data are available at Bioinformatics online.
Oxford University Press