Name
Abstract | ||
|---|---|---|
One of major challenges for post-genomic biology is to understand how molecules dynamically interact to form networks which facilitate sophisticated biological functions. Instead of analyzing individual molecules, systems biology is to study dynamical networks of interacting molecules which give rise to life. In recent years, many progress have been made in systematic approaches and high-throughput technologies for systematic studying complex molecular networks. Analyzing these networks provides novel insights in understanding not only complicated cellular phenomena but also the essential principles or fundamental mechanisms behind the phenomena at system level. This paper presents a brief survey on recent developments on modeling and analyzing complex molecular networks mainly from global and dynamical properties of complex molecular networks. Some recent developments and perspectives of analysis on molecular networks are also discussed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02469-6_90 | Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering |
Keywords | Field | DocType |
Modeling,analyzing,molecular networks | Data science,Nanotechnology,Systems biology,Artificial intelligence,Mathematics,Machine learning,System level | Conference |
Volume | ISSN | Citations |
5 | 1867-8211 | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruiqi Wang | 1 | 64 | 15.44 |
| Xing-Ming Zhao | 2 | 146 | 15.55 |
| Zengrong Liu | 3 | 222 | 32.89 |