Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 7653101, 7 pages
Research Article

Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics

1Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
2Department of Neurosurgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510665, China
3Department of General Surgery, Shanghai Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

Correspondence should be addressed to Haizhong Huo; gro.latipsoh9hs@0751zhouh and Ye Song; nc.ude.ums@eygnos

Received 1 September 2016; Accepted 21 November 2016; Published 16 January 2017

Academic Editor: Jens Schittenhelm

Copyright © 2017 Hao Long 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

Hao Long, Chaofeng Liang, Xi’an Zhang, et al., “Prediction and Analysis of Key Genes in Glioblastoma Based on Bioinformatics,” BioMed Research International, vol. 2017, Article ID 7653101, 7 pages, 2017.