Inference of noisy nonlinear differential equation models for gene regulatory networks using genetic programming and Kalman filtering

IEEE Transactions on Signal Processing

Volumn 56, Issue 7 II, 2008, Pages 3327-3339

  Qian, Lijun ^a   Wang, Haixin ^a   Dougherty, Edward R ^b,c,d  

^a Texas A M University System   (United States)

^b Texas AandM University   (United States)

^c TRANSLATIONAL GENOMICS RESEARCH INSTITUTE   (United States)

^d UNIVERSITY OF TEXAS MD ANDERSON CANCER CENTER   (United States)

Author keywords

Gene regulatory network; Genetic programming; Kalman filter

Indexed keywords

BESSEL FUNCTIONS; COMPUTER GRAPHICS; COMPUTER PROGRAMMING; CONTROL THEORY; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); EXTRAPOLATION; FILTRATION; GENETIC ALGORITHMS; GENETIC PROGRAMMING; ITERATIVE METHODS; KALMAN FILTERS; LAWS AND LEGISLATION; MILITARY DATA PROCESSING; NONLINEAR EQUATIONS; NUCLEIC ACIDS; PARAMETER ESTIMATION; RNA; SIGNAL PROCESSING; STANDARDS; SULFATE MINERALS; TRANSCRIPTION;

(P ,P ,T) MEASUREMENTS; APPLIED (CO); EXTERNAL NOISE; GENE REGULATORY NETWORK (GRN); GENOMIC SIGNAL PROCESSING; INTRINSIC NOISE; ITERATIVE ALGORITHMS; KALMAN FILTERING; MICRO ARRAYS; MODEL IDENTIFICATION; NON LINEAR DIFFERENTIAL EQUATIONS; ON TIME; PROTEIN DEGRADATIONS; RANDOM NOISES; REGULATORY PROTEINS; RNA POLYMERASE (RNAP); ROBUST KALMAN FILTERING; STOCHASTICITY; SYNTHETIC DATA; YEAST PROTEINS;

DIFFERENCE EQUATIONS;

EID: 46649107949     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2008.919638     Document Type: Article

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