Fitting ordinary differential equations to short time course data

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 366, Issue 1865, 2008, Pages 519-544

  Brewer, Daniel ^a,b   Barenco, Martino ^a,b   Callard, Robin ^a,b   Hubank, Michael ^a,b   Stark, Jaroslav ^c  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Collocation; Ordinary differential equation; Parameter estimation; Splines; Systems biology; Time series

Indexed keywords

ALGORITHMS; NUMERICAL METHODS; PARAMETER ESTIMATION; SPLINES; TIME SERIES ANALYSIS;

PRACTICAL ALGORITHMS; SQUARES MINIMIZATION STEPS; SYSTEMS BIOLOGY; TIME COURSE DATA;

ORDINARY DIFFERENTIAL EQUATIONS;

ATM PROTEIN; CELL CYCLE PROTEIN; DNA BINDING PROTEIN; PROTEIN MDM2; PROTEIN P53; PROTEIN SERINE THREONINE KINASE; TUMOR SUPPRESSOR PROTEIN;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BIOLOGY; MATHEMATICS; PHYSIOLOGY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS; SYSTEMS BIOLOGY; TIME; TUMOR SUPPRESSOR GENE;

ALGORITHMS; CELL CYCLE PROTEINS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DNA-BINDING PROTEINS; GENES, P53; LINEAR MODELS; MATHEMATICS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PROTEIN-SERINE-THREONINE KINASES; PROTO-ONCOGENE PROTEINS C-MDM2; SYSTEMS BIOLOGY; TIME FACTORS; TUMOR SUPPRESSOR PROTEIN P53; TUMOR SUPPRESSOR PROTEINS;

EID: 38149073383     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2007.2108     Document Type: Conference Paper

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