Functional data analysis for identifying nonlinear models of gene regulatory networks

BMC Genomics

Volumn 11, Issue SUPPL. 4, 2010, Pages

  Summer, Georg ^a,b   Perkins, Theodore J ^a,c  

^a OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF APPLIED SCIENCES UPPER AUSTRIA   (Austria)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; COMPUTER SIMULATION; DATA ANALYSIS; DROSOPHILA MELANOGASTER; FUNCTIONAL DATA ANALYSIS; GENE REGULATORY NETWORK; INSECT GENETICS; NONLINEAR REGRESSION ANALYSIS; STATISTICAL MODEL; ANIMAL; BIOLOGICAL MODEL; GENE EXPRESSION REGULATION; GENETICS; NONLINEAR SYSTEM; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; SYSTEMS BIOLOGY;

DROSOPHILA MELANOGASTER;

ACCURATE ESTIMATION; AD HOC METHODS; ALTERNATIVE METHODS; DECOMPOSABILITY; DROSOPHILA MELANOGASTER; DYNAMICAL MODEL; ENGINEERING CHALLENGES; FUNCTIONAL DATA ANALYSIS; GENE EXPRESSION DYNAMICS; GENE REGULATORY NETWORKS; GENE SYSTEMS; GENETIC NETWORKS; NON-LINEAR MODEL; NONLINEAR DYNAMICAL MODELS; OVERFITTING; REAL SYSTEMS; REALISTIC MODELING; REGRESSION PROBLEM; REGULATORY RELATIONSHIPS; SIMULATED DATASETS; SYSTEMS BIOLOGY; TEST CASE;

BIOINFORMATICS; ESTIMATION; GENE EXPRESSION; METADATA; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; REVERSE ENGINEERING;

NONLINEAR ANALYSIS;

ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DROSOPHILA MELANOGASTER; GENE EXPRESSION REGULATION, FUNGAL; GENE REGULATORY NETWORKS; MODELS, GENETIC; NONLINEAR DYNAMICS; REGRESSION ANALYSIS; SYSTEMS BIOLOGY;

EID: 78649781257     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-11-S4-S18     Document Type: Article

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