Abstract
Researchers have recognized that biological phenotypes are underlain by the network of interactions among proteins, RNAs, DNAs, and other entities in the cell. Network-based data analysis approaches have been widely used in cancer data analysis. In this chapter, we review network-module-based approaches and their applications to cancer data analysis. We also introduce a software tool for doing network-module-based data analysis for cancer data.
| Original language | English (US) |
|---|---|
| Title of host publication | Statistical Diagnostics for Cancer |
| Subtitle of host publication | Analyzing High-Dimensional Data |
| Publisher | Wiley-VCH |
| Pages | 173-192 |
| Number of pages | 20 |
| Volume | 3 |
| ISBN (Print) | 9783527332625 |
| DOIs | |
| State | Published - Apr 8 2013 |
| Externally published | Yes |
Keywords
- Biological pathways
- Cytoscape plug-in
- Functional interactions
- Modules
- Networks
- Ovarian cancer
- Reactome database
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology