期刊
BIOINFORMATICS
卷 32, 期 7, 页码 1097-1099出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv693
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资金
- Susan Komen Foundation
- Banco Bilbao Vizcaya Argentaria (BBVA) Foundation
- Instituto de Salud Carlos III [PI13/01718]
- Gattuso Slaight Personalized Cancer Medicine Fund
- Cancer Research Society
- CIHR Grant [201412MSH-340176-229599]
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.
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