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BioMed Research International
Volume 2017 (2017), Article ID 1016305, 8 pages
https://doi.org/10.1155/2017/1016305
Research Article

Identification of Pharmacologically Tractable Protein Complexes in Cancer Using the R-Based Network Clustering and Visualization Program MCODER

1Graduate Programs for Nanomedical Science, Yonsei University, Seoul, Republic of Korea
2Severance Biomedical Science Institute, Brain Korea 21 Plus Project for Medical Science, Yonsei University, College of Medicine, Seoul, Republic of Korea

Correspondence should be addressed to Hyun Seok Kim

Received 3 March 2017; Revised 21 April 2017; Accepted 23 May 2017; Published 13 June 2017

Academic Editor: Xingming Zhao

Copyright © 2017 Sungjin Kwon 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 Data 1: List of differentially expressed proteins in each of the molecular subtypes of HGS-OvCa and CRC.

Supplementary Data 2: Identified submodules for each of the molecular subtypes of HGS-OvCa and CRC.

  1. Supplementary Material