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BioMed Research International
Volume 2014 (2014), Article ID 424509, 10 pages
http://dx.doi.org/10.1155/2014/424509
Research Article

Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

1Biogas Institute of Ministry of Agriculture, Chengdu 610041, China
2College of Chemistry, Sichuan University, Chengdu 610064, China

Received 16 April 2014; Revised 21 June 2014; Accepted 24 June 2014; Published 14 July 2014

Academic Editor: Mingyue Zheng

Copyright © 2014 Li He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Li He, Yuelong Wang, Yongning Yang, Liqiu Huang, and Zhining Wen, “Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis,” BioMed Research International, vol. 2014, Article ID 424509, 10 pages, 2014. doi:10.1155/2014/424509