Accessible methods for the dynamic time-scale decomposition of biochemical systems | Zendy

Irina Surovtsova | Zendy; Natalia Simus | Zendy; Thomas Lorenz | Zendy; Artjom König | Zendy; Sven Sahle | Zendy; Ursula Kummer | Zendy

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Accessible methods for the dynamic time-scale decomposition of biochemical systems

Author(s) -

Irina Surovtsova,

Natalia Simus,

Thomas Lorenz,

Artjom König,

Sven Sahle,

Ursula Kummer

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp451

Subject(s) - computer science , heuristics , clarity , visualization , software , representation (politics) , scale (ratio) , decomposition , data mining , theoretical computer science , programming language , ecology , biochemistry , chemistry , physics , quantum mechanics , politics , biology , political science , law , operating system

The growing complexity of biochemical models asks for means to rationally dissect the networks into meaningful and rather independent subnetworks. Such foregoing should ensure an understanding of the system without any heuristics employed. Important for the success of such an approach is its accessibility and the clarity of the presentation of the results.

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