Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset-Reference-Cited by-同舟云学术

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Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset

Published:2016-01-13 Issue:1 Volume:9 Page:
ISSN:1756-0381
Container-title:BioData Mining
language:en
Short-container-title:BioData Mining

Author:

Milioli Heloisa H.,Vimieiro Renato,Tishchenko Inna,Riveros Carlos,Berretta Regina,Moscato Pablo

Funder

Australian Research Council

Cancer Institute of New South Wales

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Genetics,Molecular Biology,Biochemistry

Link

http://link.springer.com/content/pdf/10.1186/s13040-015-0078-9.pdf

Reference25 articles.

1. Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, Vickery T, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009; 27(8):1160–1167. doi: 10.1200/JCO.2008.18.1370 .

2. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000; 406(6797):747–52. doi: 10.1038/35021093 .

3. Sørlie T, Perou CM, Tibshirani R, Aas T, Geisler S, Johnsen H, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A. 2001; 98(19):10869–10874. doi: 10.1073/pnas.191367098 .

4. Sørlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A. 2003; 100(14):8418–423. doi: 10.1073/pnas.0932692100 .

5. Hu Z, Fan C, Oh DS, Marron JS, He X, Qaqish BF, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 2006;7(96). doi: 10.1186/1471-2164-7-96 .

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