Complexity reduction preserving dynamical behavior of biochemical networks

Journal of Theoretical Biology

Volumn 304, Issue , 2012, Pages 16-26

  Apri, Mochamad ^a,b,c   de Gee, Maarten ^a,b   Molenaar, Jaap ^a,b  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b Netherlands Consortium for Systems Biology   (Netherlands)

^c BANDUNG INSTITUTE OF TECHNOLOGY   (Indonesia)

Author keywords

Admissible region; Complexity reduction; Dynamical behavior; Parameter estimation; Sloppy parameters

Indexed keywords

EPIDERMAL GROWTH FACTOR; EPIDERMAL GROWTH FACTOR RECEPTOR;

ARTIFICIAL NEURAL NETWORK; BIOCHEMISTRY; COMPLEXITY; NUMERICAL MODEL; REDUCTION; SENSITIVITY ANALYSIS;

ARTICLE; ARTIFICIAL METABOLIC NETWORK; ARTIFICIAL NEURAL NETWORK; BIOCHEMISTRY; COMPLEXITY REDUCTION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; REDUCTION; SENSITIVITY ANALYSIS;

ALGORITHMS; BIOCHEMICAL PROCESSES; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; PHOSPHORYLATION; RECEPTOR, EPIDERMAL GROWTH FACTOR; SIGNAL TRANSDUCTION; SON OF SEVENLESS PROTEIN, DROSOPHILA; SYSTEMS BIOLOGY;

EID: 84860528162     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2012.03.019     Document Type: Article

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