An accurate prostate cancer prognosticator using a seven-gene signature plus Gleason score and taking cell type heterogeneity into account.
One of the major challenges in the development of prostate cancer prognostic biomarkers is the cellular heterogeneity in tissue samples. We developed an objective Cluster-Correlation (CC) analysis to identify gene expression changes in various cell types that are associated with progression. In the...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2012-01-01
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Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC3460942?pdf=render |