Seeing the wood for the trees: A forest of methods for optimization and omic-network integration in metabolic modelling

Briefings in Bioinformatics

Volumn 19, Issue 6, 2017, Pages 1218-1235

  Vijayakumar, Supreeta ^a   Conway, Max ^b   Lio, Pietro ^b   Angione, Claudio ^a  

^a TEESSIDE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Data integration; Flux balance analysis; Genome scale models; Metabolic models; Multi objective optimization; Poly omic

Indexed keywords

ARTICLE; FOREST; GENOME; HUMAN; MACHINE LEARNING; PUBLICATION; SYSTEMS BIOLOGY; VISION; METABOLISM; PROCEDURES; THEORETICAL MODEL;

MACHINE LEARNING; METABOLISM; MODELS, THEORETICAL; SYSTEMS BIOLOGY;

EID: 85057522434     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbx053     Document Type: Article

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