Identification of high-quality cancer prognostic markers and metastasis network modules View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-07-13

AUTHORS

Jie Li, Anne E.G. Lenferink, Yinghai Deng, Catherine Collins, Qinghua Cui, Enrico O. Purisima, Maureen D. O'Connor-McCourt, Edwin Wang

ABSTRACT

There has been great interest in attempting to identify gene expression signatures that predict cancer survival. In this study a new algorithm is developed to analyse gene expression datasets that accurately classify both ER+ and ER− breast cancers into low- and high-risk groups.

PAGES

34

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ncomms1033

DOI

http://dx.doi.org/10.1038/ncomms1033

DIMENSIONS

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PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20975711


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