The study of multiple diagnosis models of human prostate cancer based on Taylor database by artificial neural networks

Author:

Jiang Fu-Neng,Dai Li-Jun,Wu Yong-Ding,Yang Sheng-Bang,Liang Yu-Xiang,Zhang Xin,Zou Cui-Yun,He Ren-Qiang,Xu Xiao-Ming,Zhong Wei-De

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference35 articles.

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3. An integrative proteomics and interaction network-based classifier for prostate cancer diagnosis.;Jiang;PLoS One,2013

4. Development and validation of a 32-gene prognostic index for prostate cancer progression.;Wu;Proc Natl Acad Sci U S A,2013

5. Prostate cancer specificity of PCA3 gene testing: examples from clinical practice.;Marks;Rev Urol,2008

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