Identification of alterations in the Jacobian of biochemical reaction networks from steady state covariance data at two conditions

Journal of Mathematical Biology

Volumn 68, Issue 7, 2014, Pages 1757-1783

  Kügler, Philipp ^a,b   Yang, Wei ^b  

^a UNIVERSITY OF HOHENHEIM   (Germany)

^b JOHANN RADON INSTITUTE FOR COMPUTATIONAL AND APPLIED MATHEMATICS   (Austria)

Author keywords

34K29; 60H10; 92 08

Indexed keywords

EPIDERMAL GROWTH FACTOR RECEPTOR;

ALGORITHM; ANIMAL; BIOCHEMISTRY; BIOLOGICAL MODEL; GENETICS; GLYCOLYSIS; HUMAN; MATHEMATICAL PHENOMENA; METABOLISM; MUTATION; NEOPLASM; SIGNAL TRANSDUCTION; STATISTICAL MODEL; STATISTICS; SYSTEMS BIOLOGY;

ALGORITHMS; ANIMALS; BIOCHEMICAL PROCESSES; GLYCOLYSIS; HUMANS; LINEAR MODELS; MAP KINASE SIGNALING SYSTEM; MATHEMATICAL CONCEPTS; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; MUTATION; NEOPLASMS; RECEPTOR, EPIDERMAL GROWTH FACTOR; STOCHASTIC PROCESSES; SYSTEMS BIOLOGY;

EID: 84899996678     PISSN: 03036812     EISSN: 14321416     Source Type: Journal    
DOI: 10.1007/s00285-013-0685-3     Document Type: Article

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