SCOPUS 정보 검색 플랫폼

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2008, Pages 393-397

Complexity analysis and optimal experimental design for parameter estimation of biological systems

(3) Wu, Fang Xiang a Mu, Lei a Luo, Ruizhi a

a UNIVERSITY OF SASKATCHEWAN (Canada)

Author keywords

Complexity analysis; Easpase model; Experimental design; Parameter estimation; Reaction rates; Stoichiometric matrix

Indexed keywords

BIOLOGICAL SYSTEMS; CELL DEATH; CHLORINE COMPOUNDS; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); PARAMETER ESTIMATION; RATE CONSTANTS; REACTION RATES; STATISTICS; TECHNOLOGY;

APOPTOSIS; BIOLOGICAL PROCESSING; COMPLEXITY ANALYSIS; EASPASE MODEL; ELECTRICAL AND COMPUTER ENGINEERING; EXPERIMENTAL CONDITIONS; EXPERIMENTAL DESIGN; NON-LINEAR DIFFERENTIAL EQUATIONS; NONLINEAR TERMS; NUMBER OF STATES; OPTIMAL EXPERIMENTAL DESIGN; PROGRAMMED CELL DEATH; STOICHIOMETRIC MATRIX;

NONLINEAR EQUATIONS;

EID: 51849131139 PISSN: 08407789 EISSN: None Source Type: Conference Proceeding
DOI: 10.1109/CCECE.2008.4564564 Document Type: Conference Paper

Times cited : (7)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.