Unravelling gene networks from noisy under-determined experimental perturbation data

IEE Proceedings: Systems Biology

Volumn 153, Issue 4, 2006, Pages 257-262

  de la Fuente, A ^a   Makhecha, D P ^b  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; MATHEMATICAL MODELS; MOLECULAR BIOLOGY; PERTURBATION TECHNIQUES; REGRESSION ANALYSIS;

GENE NETWORK MODELS; MATRIX INVERSE APPROACH; SUBSET SELECTION;

GENETIC ENGINEERING;

ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; GENE INTERACTION; GENETIC ALGORITHM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PERFORMANCE; REGRESSION ANALYSIS; SIGNAL NOISE RATIO; SIMULATION;

CELL PHYSIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PROTEOME; RANDOM ALLOCATION; RESEARCH; SIGNAL TRANSDUCTION; STOCHASTIC PROCESSES;

EID: 33746612085     PISSN: 17412471     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-syb:20050061     Document Type: Article

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