Inference of dynamic networks using time-course data

Yongsoo Kim, Seungmin Han, Seungjin Choi, Daehee Hwang

Research output: Contribution to journalArticleAcademicpeer-review

42 Citations (Scopus)


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.

Original languageEnglish
Article numberbbt028
Pages (from-to)212-228
Number of pages17
JournalBriefings in bioinformatics
Issue number2
Publication statusPublished - 1 Jan 2014


  • Dynamic network
  • Network inference
  • Spatiotemporal dynamics

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