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genefu (version 2.4.2)

pam50: PAM50 classifier for identification of breast cancer molecular subtypes (Parker et al 2009)

Description

List of parameters defining the PAM50 classifier for identification of breast cancer molecular subtypes (Parker et al 2009).

Usage

data(pam50)
data(pam50.scale)
data(pam50.robust)

Arguments

source

http://jco.ascopubs.org/cgi/content/short/JCO.2008.18.1370v1

Details

Three versions of the model are provided, each of ones differs by the gene expressions standardization method since it has an important impact on the subtype classification: [object Object],[object Object],[object Object] The model pam50.robust has been shown to reach the best concordance with the traditional clinical parameters (ER IHC, HER2 IHC/FISH and histological grade). However the use of this model is recommended only when the dataset is representative of a global population of breast cancer patients (no sampling bias, the 5 subtypes should be present).

References

Parker, Joel S. and Mullins, Michael and Cheang, Maggie C.U. and Leung, Samuel and Voduc, David and Vickery, Tammi and Davies, Sherri and Fauron, Christiane and He, Xiaping and Hu, Zhiyuan and Quackenbush, John F. and Stijleman, Inge J. and Palazzo, Juan and Marron, J.S. and Nobel, Andrew B. and Mardis, Elaine and Nielsen, Torsten O. and Ellis, Matthew J. and Perou, Charles M. and Bernard, Philip S. (2009) "Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes", Journal of Clinical Oncology, 27(8):1160--1167

Examples

Run this code
data(pam50)
str(pam50)
data(pam50.robust)
str(pam50.robust)

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