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:[email protected] information:Supplementary data are available at Bioinformatics online.
| Original language | English |
|---|---|
| Pages (from-to) | 1097-1099 |
| Number of pages | 3 |
| Journal | Bioinformatics |
| Volume | 32 |
| Issue number | 7 |
| Early online date | 24 Nov 2015 |
| DOIs | |
| Publication status | Published - 1 Apr 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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