An integrative proteomics and interaction network-based classifier for prostate cancer diagnosis.

An integrative proteomics and interaction network-based classifier for prostate cancer diagnosis.

Early diagnosis of prostate cancer (PCa), which is a clinically heterogeneous-multifocal disease, is essential to improve the prognosis of patients. However, published PCa diagnostic markers share little overlap and are poorly validated using independent data. Therefore, we here developed an integra...

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Bibliographic Details
Main Authors: Fu-neng Jiang, Hui-chan He, Yan-qiong Zhang, Deng-Liang Yang, Jie-Hong Huang, Yun-xin Zhu, Ru-jun Mo, Guo Chen, Sheng-bang Yang, Yan-ru Chen, Wei-de Zhong, Wen-Liang Zhou
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3667836?pdf=render

Internet

http://europepmc.org/articles/PMC3667836?pdf=render

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