Name
Abstract | ||
|---|---|---|
One major goal of functional genomics has been to identify and analyze molecular interactions in a cellular context to better understand the underlying design principles and mechanisms. To investigate into a PPI network from both topological and functional points of view, this work proposes a methodology that exploits ontology-based biological knowledge for network analysis. To speed up the procedure, an agent-based framework is also presented for supporting distributed computing. The preliminary results show that through the knowledge obtained from gene ontology, our work in analyzing building blocks of PPI networks can give a higher resolution than that of previous ones. Also our agent-based framework can successfully speed up the task of network analysis in an adaptive manner. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.eswa.2009.05.040 | Expert Syst. Appl. |
Keywords | Field | DocType |
exploiting knowledge ontology,gene ontology,evolutionary conservation,cellular context,agent-based framework,adaptive computing,biological knowledge,software agent,protein–protein interaction,ppi network,building block,functional point,network analysis,adaptive manner,ppi network analysis,motif analysis,mobile agent,functional genomics,protein protein interaction,distributed computing,function point | Ontology,Data mining,Computer science,Gene ontology,Mobile agent,Functional genomics,Software agent,Exploit,Artificial intelligence,Network analysis,Machine learning,Speedup | Journal |
Volume | Issue | ISSN |
36 | 10 | Expert Systems With Applications |
Citations | PageRank | References |
2 | 0.44 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-Shyong Tzou | 1 | 43 | 5.99 |
| Lee, Wei-Po | 2 | 443 | 37.49 |
| Bing-Chiang Jeng | 3 | 378 | 42.80 |