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RRHGE: a novel approach to classify the estrogen receptor based breast cancer subtypes

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journal contribution
posted on 2014-01-01, 00:00 authored by Ashish Saini, Jingyu HouJingyu Hou, Wanlei Zhou
Breast cancer is the most common type of cancer among females with a high mortality rate. It is essential to classify the estrogen receptor based breast cancer subtypes into correct subclasses, so that the right treatments can be applied to lower the mortality rate. Using gene signatures derived from gene interaction networks to classify breast cancers has proven to be more reproducible and can achieve higher classification performance. However, the interactions in the gene interaction network usually contain many false-positive interactions that do not have any biological meanings. Therefore, it is a challenge to incorporate the reliability assessment of interactions when deriving gene signatures from gene interaction networks. How to effectively extract gene signatures from available resources is critical to the success of cancer classification.

History

Journal

ScientificWorldJournal

Volume

2014

Article number

362141

Pagination

1 - 13

Publisher

Hindawi Publishing Corporation

Location

New York, N. Y.

ISSN

2356-6140

eISSN

1537-744X

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2014, Hindawi Publishing Corporation

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