Name
Title | ||
|---|---|---|
Reconstructing dynamic gene regulatory network for the development process of hepatocellular carcinoma |
Abstract | ||
|---|---|---|
A crucial work of investigating the mechanisms of cancer development is to unraveling the dynamic nature of gene regulation during the disease process. However, reconstruction of dynamic gene regulatory network requires time-sequence samples of a biological process, which are not available for many bio-medical problems. In this paper, we propose a dynamic cascaded method to reconstruct dynamic gene networks from sample-based transcriptional data. Our method is based on two biologically plausible assumptions, which can characterise the dynamic and continuous nature of gene transcription. Our approach was successfully applied to reconstruct the dynamic gene networks of hepatocellular carcinoma (HCC) progression. The derived HCC networks were verified by functional analysis and network enrichment analysis. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BIBMW.2012.6470298 | BIBM Workshops |
Keywords | Field | DocType |
gene regulatory network,herpatocellulur carcinoma,biomedical problems,dynamic gene,dynamic gene regulatory network,sample-based transcriptional data,functional analysis,biologically plausible assumptions,gene therapy,continuous nature,genomics,time-sequence samples,cancer development,hcc network,dynamic gene network,biological process,dynamic network,cancer,dynamic nature,development process,dynamic cascaded method,disease process,gene regulation,gene transcription,network enrichment analysis,regulatory network,hepatocellular carcinoma | Dynamic network analysis,Computer science,Regulation of gene expression,Genomics,Bioinformatics,Gene regulatory network | Conference |
ISBN | Citations | PageRank |
978-1-4673-2744-2 | 1 | 0.36 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hailong Zhu | 1 | 260 | 12.11 |
| Luonan Chen | 2 | 1485 | 145.71 |
| R. Shyama Prasad Rao | 3 | 1 | 1.04 |