Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression

Predicting disease progression is one of the most challenging problems in prostate cancer research. Adding gene expression data to prediction models that are based on clinical features has been proposed to improve accuracy. In the current study, we applied a logistic regression (LR) model combining...

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Bibliographic Details
Main Authors: Zhao, Hongya, Logothetis, Christopher J., Gorlov, Ivan P., Zeng, Jia, Dai, Jianguo
Format: Artigo
Language:Inglês
Published: Hindawi Publishing Corporation 2013
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3866878/
https://ncbi.nlm.nih.gov/pubmed/24367394
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/917502
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