Stochastic models for inferring genetic regulation from microarray gene expression data

BioSystems

Volumn 99, Issue 3, 2010, Pages 192-200

  Tian, Tianhai ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

Genetic algorithm; Microarray; Noise; Stochastic differential equation; Stochastic modelling

Indexed keywords

PROTEIN P53;

EXPERIMENTAL STUDY; GENE EXPRESSION; GENETIC ALGORITHM; GENETIC ENGINEERING; NOISE; STOCHASTICITY; VARIANCE ANALYSIS;

ARTICLE; GENE CONTROL; GENE EXPRESSION PROFILING; GENE TARGETING; GENETIC ENGINEERING; HYBRIDIZATION; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; SIGNAL NOISE RATIO; SIMULATION; STOCHASTIC MODEL;

GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; MODELS, GENETIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; STOCHASTIC PROCESSES;

EID: 77649274950     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2009.11.002     Document Type: Article

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