Topological augmentation to infer hidden processes in biological systems | Zendy

Mikael Sunnåker | Zendy; Elías Zamora-Sillero | Zendy; Adrián López García de Lomana | Zendy; Florian Rudroff | Zendy; Uwe Sauer | Zendy; Joerg Stelling | Zendy; Andreas Wagner | Zendy

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Topological augmentation to infer hidden processes in biological systems

Author(s) -

Mikael Sunnåker,

Elías Zamora-Sillero,

Adrián López García de Lomana,

Florian Rudroff,

Uwe Sauer,

Joerg Stelling,

Andreas Wagner

Publication year - 2013

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/btt638

Subject(s) - computer science , topology (electrical circuits) , ordinary differential equation , matlab , theoretical computer science , algorithm , differential equation , mathematics , mathematical analysis , combinatorics , operating system

A common problem in understanding a biochemical system is to infer its correct structure or topology. This topology consists of all relevant state variables-usually molecules and their interactions. Here we present a method called topological augmentation to infer this structure in a statistically rigorous and systematic way from prior knowledge and experimental data.

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