期刊
BRIEFINGS IN BIOINFORMATICS
卷 15, 期 2, 页码 212-228出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbt028
关键词
dynamic network; spatiotemporal dynamics; network inference
资金
- Korean MEST grants from the Converging Research Center Program [2011K000896]
- Global Frontier Project grant [NRF-M1AXA002-2011-0028392]
- Core research program of National Research Foundation of Korea [2012-0005032]
- Proteogenomic Research Program
- WCU program [R31-2008-000-10105-0, R31-10100]
- Nex-Generation BioGreen 21 Program Korean Rural Development Administration [PJ009072]
Cells execute their functions through dynamic operations of biological networks. Dynamic networks delineate the operation of biological networks in terms of temporal changes of abundances or activities of nodes (proteins and RNAs), as well as formation of new edges and disappearance of existing edges over time. Global genomic and proteomic technologies can be used to decode dynamic networks. However, using these experimental methods, it is still challenging to identify temporal transition of nodes and edges. Thus, several computational methods for estimating dynamic topological and functional characteristics of networks have been introduced. In this review, we summarize concepts and applications of these computational methods for inferring dynamic networks and further summarize methods for estimating spatial transition of biological networks.
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