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

Research output: Contribution to journalArticlepeer-review


  • Natchar Ratanasirigulchai
  • Markus S. Schröder
  • Laia Paré
  • Joel S. Parker
  • Aleix Prat
  • Benjamin Haibe-Kains

Colleges, School and Institutes


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. Source code is also available on Github information:Supplementary data are available at Bioinformatics online.


Original languageEnglish
Pages (from-to)1097-1099
Number of pages3
Issue number7
Early online date24 Nov 2015
Publication statusPublished - 1 Apr 2016