Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer
Genefu: an R/Bioconductor package for computation of gene expression-based signatures in breast cancer
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DOI：
10.1093/bioinformatics/btv693
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发表时间：
2016-04-01
期刊：
影响因子：
5.8
通讯作者：
Haibe-Kains, Benjamin
中科院分区：
文献类型：
--
作者：
Gendoo, Deena M. A.;Ratanasirigulchai, Natchar;Haibe-Kains, Benjamin
乳腺癌是妇女最常见的癌症之一。对乳腺癌分子异质性的广泛研究已经产生了大量的分子亚型分类和预后预测算法，以及许多基因表达特征。然而，这些算法的重新实现是一个繁琐但重要的任务，以使现有的签名和分类模型之间的相互比较，并与新的模型。在这里，我们提出了genefu R/Bioconductor软件包，一个多层的生物信息学算法和基因签名的纲要，用于乳腺癌的分子分型和分类。
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.