Detection of the inferred interaction network in hepatocellular carcinoma from EHCO (Encyclopedia of Hepatocellular Carcinoma genes Online)
- Equal contributors
1 Institute of Information Science, Academia Sinica, Taipei 115, Taiwan, R. O. C
2 Department of Life Science, Fu-Jen Catholic University, Taipei Hsien 242, Taiwan, R. O. C
3 Division of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli County 350, Taiwan, R. O. C
4 Institute of Cancer Research, National Health Research Institutes, Taipei 114, Taiwan, R. O. C
5 Department of Computer Science and Information Engineering, National Taiwan University, Taipei 106, Taiwan, R. O. C
6 Institute of Biomedical Science, National Sun Yat-Sen University, Kaohsiung 804, Taiwan, R. O. C
7 National Center for High-performance Computing, Hsinchu 300, Taiwan, R. O. C
8 Institute of Bio-Pharmaceutical Sciences, National Yang-Ming University, Taipei 112, Taiwan, R. O. C
9 Institute of Biotechnology in Medicine, National Yang-Ming University, Taipei 112, Taiwan, R. O. C
BMC Bioinformatics 2007, 8:66 doi:10.1186/1471-2105-8-66Published: 27 February 2007
The significant advances in microarray and proteomics analyses have resulted in an exponential increase in potential new targets and have promised to shed light on the identification of disease markers and cellular pathways. We aim to collect and decipher the HCC-related genes at the systems level.
Here, we build an integrative platform, the
This architectural map may represent the first step toward the attempt to decipher the hepatocarcinogenesis at the systems level. Targeting hubs and/or disruption of the network formation might reveal novel strategy for HCC treatment.