Abstracting the dynamics of biological pathways using information theory: a case study of apoptosis pathway | Zendy

Sucheendra K. Palaniappan | Zendy; François Bertaux | Zendy; Matthieu Pichené | Zendy; Éric Fabre | Zendy; Grégory Batt | Zendy; Blaise Genest | Zendy

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Abstracting the dynamics of biological pathways using information theory: a case study of apoptosis pathway

Author(s) -

Sucheendra K. Palaniappan,

François Bertaux,

Matthieu Pichené,

Éric Fabre,

Grégory Batt,

Blaise Genest

Publication year - 2017

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/btx095

Subject(s) - computer science , theoretical computer science , mutual information , abstraction , bayesian probability , limiting , entropy (arrow of time) , information theory , bayesian network , discretization , construct (python library) , data mining , artificial intelligence , mathematics , programming language , statistics , mechanical engineering , mathematical analysis , philosophy , physics , epistemology , quantum mechanics , engineering

Quantitative models are increasingly used in systems biology. Usually, these quantitative models involve many molecular species and their associated reactions. When simulating a tissue with thousands of cells, using these large models becomes computationally and time limiting.

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