A data-Driven framework for identifying nonlinear dynamic models of genetic parts

ACS Synthetic Biology

Volumn 1, Issue 8, 2012, Pages 375-384

  Krishnanathan, Kirubhakaran ^a   Anderson, Sean R ^a   Billings, Stephen A ^a   Kadirkamanathan, Visakan ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Biochemical models; Dynamic; Genetic parts; NARMAX; Nonlinear system identification

Indexed keywords

ACCURACY; ARTICLE; CELL POPULATION; CHEMICAL MODEL; CONCEPTUAL FRAMEWORK; ENZYME MECHANISM; GENETIC VARIABILITY; MOLECULAR DYNAMICS; NONLINEAR DYNAMIC MODELING; PRIORITY JOURNAL; SIMULATION; STATISTICAL MODEL;

COMPUTER SIMULATION; MODELS, BIOLOGICAL; MODELS, GENETIC; NONLINEAR DYNAMICS; QUORUM SENSING; SYNTHETIC BIOLOGY; SYSTEMS BIOLOGY;

EID: 84868230984     PISSN: None     EISSN: 21615063     Source Type: Journal    
DOI: 10.1021/sb300009t     Document Type: Article

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