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Complexity
Volume 2017, Article ID 4826206, 10 pages
https://doi.org/10.1155/2017/4826206
Research Article

DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes

1College of Computer Science and Technology, Anhui University, Hefei, Anhui 230601, China
2State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210018, China
3Institute of Health Sciences, Anhui University, Hefei, Anhui 230601, China

Correspondence should be addressed to Chun-Hou Zheng; moc.621@99hcgnehz

Received 7 March 2017; Revised 8 June 2017; Accepted 3 July 2017; Published 10 August 2017

Academic Editor: Haiying Wang

Copyright © 2017 Pi-Jing Wei 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.

Supplementary Material

Supplementary File 1: Results of four datasets BRCA, HNSC, KIRC, and THCA in DriverFinder.

Supplementary File 2: The results of KEGG pathway enrichment of four datasets BRCA, HNSC, KIRC, and THCA.

  1. Supplementary File 1
  2. Supplementary File 2