Inferring qualitative relations in genetic networks and metabolic pathways | Zendy

Tatsuya Akutsu | Zendy; Satoru Miyano | Zendy; Satoru Kuhara | Zendy

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Inferring qualitative relations in genetic networks and metabolic pathways

Author(s) -

Tatsuya Akutsu,

Satoru Miyano,

Satoru Kuhara

Publication year - 2000

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/16.8.727

Subject(s) - inference , computer science , boolean network , biological network , gene regulatory network , and inverter graph , theoretical computer science , series (stratigraphy) , genetic algorithm , data mining , time series , boolean function , algorithm , boolean expression , artificial intelligence , machine learning , mathematics , gene , paleontology , biochemistry , gene expression , chemistry , combinatorics , biology

Inferring genetic network architecture from time series data of gene expression patterns is an important topic in bioinformatics. Although inference algorithms based on the Boolean network were proposed, the Boolean network was not sufficient as a model of a genetic network.

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