Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

This article is part of the supplement: The International Conference on Intelligent Biology and Medicine (ICIBM) – Genomics

Open Access Research

Differential combinatorial regulatory network analysis related to venous metastasis of hepatocellular carcinoma

Lingyao Zeng12, Jian Yu2, Tao Huang23, Huliang Jia4, Qiongzhu Dong4, Fei He2, Weilan Yuan1, Lunxiu Qin4*, Yixue Li23* and Lu Xie2*

Author Affiliations

1 School of Life Science and Technology, Tongji University, Shanghai 200092, P.R.China

2 Shanghai Center for Bioinformation Technology, Shanghai 200235, P.R.China

3 Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P.R.China

4 Liver Cancer Institute and Zhongshan Hospital, Institutes of Biomedical Science, Fudan University, Shanghai 200032, P.R.China

For all author emails, please log on.

BMC Genomics 2012, 13(Suppl 8):S14  doi:10.1186/1471-2164-13-S8-S14

Published: 17 December 2012

Additional files

Additional file 3:

Supplementary Tables. Additional Table 1 - Performance of various classifiers. Additional Table 2 - Statistics about average number of targets regulated by TFs and miRNAs. Additional Table 3 - Basic topological properties of the HCC non-metastatic and metastatic networks. Additional Table 4 - Statistics of the total set of sequence-matched pairs.

Format: RAR Size: 37KB Download file

Open Data

Additional file 1:

Supplementary Methods.

Format: PDF Size: 31KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Collection of HCC-related genes and HCC-metastasis-related genes. Additional Table 5 - HCC-related genes. Additional Table 6 - HCC-metastasis-related genes.

Format: RAR Size: 137KB Download file

Open Data

Additional file 2:

Performance comparison between module-based and gene-list-based classifiers.

Format: PDF Size: 392KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data