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Discriminating response groups in metabolic and regulatory pathway networks
Author(s) -
John L. Van Hemert,
Julie Dickerson
Publication year - 2012
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/bts039
Subject(s) - metabolic pathway , computer science , metabolic regulation , computational biology , biology , gene , genetics , biochemistry , metabolism
Analysis of omics experiments generates lists of entities (genes, metabolites, etc.) selected based on specific behavior, such as changes in response to stress or other signals. Functional interpretation of these lists often uses category enrichment tests using functional annotations like Gene Ontology terms and pathway membership. This approach does not consider the connected structure of biochemical pathways or the causal directionality of events.

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