A machine learned classifier that uses gene expression data to accurately predict estrogen receptor status.

A machine learned classifier that uses gene expression data to accurately predict estrogen receptor status.

BACKGROUND: Selecting the appropriate treatment for breast cancer requires accurately determining the estrogen receptor (ER) status of the tumor. However, the standard for determining this status, immunohistochemical analysis of formalin-fixed paraffin embedded samples, suffers from numerous technic...

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Bibliographic Details
Main Authors: Meysam Bastani, Larissa Vos, Nasimeh Asgarian, Jean Deschenes, Kathryn Graham, John Mackey, Russell Greiner
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3846850?pdf=render

Internet

http://europepmc.org/articles/PMC3846850?pdf=render

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