Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression - researchr publication related

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Hongya Zhao, Christopher J. Logothetis, Ivan P. Gorlov, Jia Zeng, Jianguo Dai. Modified Logistic Regression Models Using Gene Coexpression and Clinical Features to Predict Prostate Cancer Progression. Comp. Math. Methods in Medicine, 2013, 2013. [doi]

The following publications are possibly variants of this publication:

Predicting prostate cancer progression with penalized logistic regression model based on co-expressed genesHongya Zhao, Songru Qi, Qi Dong. bmei 2012: 976-980 [doi]

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