Networks for systems biology: conceptual connection of data and function

被引:83
|
作者
Emmert-Streib, F. [1 ]
Dehmer, M. [2 ]
机构
[1] Queens Univ Belfast, Computat Biol & Machine Learning Lab, Ctr Canc Res & Cell Biol, Sch Med Dent & Biomed Sci, Belfast BT9 7BL, Antrim, North Ireland
[2] Eduard Wallnoefer Zentrum, UMIT, Inst Bioinformat & Translat Res, A-6060 Hall In Tirol, Austria
关键词
PROTEIN-INTERACTION NETWORKS; TRANSCRIPTIONAL REGULATORY NETWORK; STRUCTURAL INFORMATION-CONTENT; CHRONIC-FATIGUE-SYNDROME; GRAPH EDIT DISTANCE; COMMUNITY STRUCTURE; HIERARCHICAL STRUCTURE; SMALL-WORLD; THEORETICAL-ANALYSIS; ALGORITHM;
D O I
10.1049/iet-syb.2010.0025
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
The purpose of this study is to survey the use of networks and network-based methods in systems biology. This study starts with an introduction to graph theory and basic measures allowing to quantify structural properties of networks. Then, the authors present important network classes and gene networks as well as methods for their analysis. In the last part of this study, the authors review approaches that aim at analysing the functional organisation of gene networks and the use of networks in medicine. In addition to this, the authors advocate networks as a systematic approach to general problems in systems biology, because networks are capable of assuming multiple roles that are very beneficial connecting experimental data with a functional interpretation in biological terms.
引用
收藏
页码:185 / 207
页数:23
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