tailieunhanh - Báo cáo khoa học: Systems biology: experimental design Clemens Kreutz and Jens Timmer

Replication protein A (RPA) complex has been shown, using bothin vivo and in vitro approaches, to be required for most aspects of eukaryotic DNA metabolism: replication, repair, telomere maintenance and homolo-gous recombination. | ỊFEBS Journal MINIREVIEW Systems biology experimental design Clemens Kreutz and Jens Timmer Physics Department University of Freiburg Germany Keywords confounding experimentaldesign mathematical modeling model discrimination Monte Carlo method parameter estimation sampling systems biology Correspondence C. Kreutz Physics Department University of Freiburg 79104 Freiburg Germany Fax 49 761 203 5754 Tel 49 761 203 8533 E-mail ckreutz@ Experimental design has a long tradition in statistics engineering and life sciences dating back to the beginning of the last century when optimal designs for industrial and agricultural trials were considered. In cell biology the use of mathematical modeling approaches raises new demands on experimental planning. A maximum informative investigation of the dynamic behavior of cellular systems is achieved by an optimal combination of stimulations and observations over time. In this minireview the existing approaches concerning this optimization for parameter estimation and model discrimination are summarized. Furthermore the relevant classical aspects of experimental design such as randomization replication and confounding are reviewed. Received 8 April 2008 revised 13 August 2008 accepted 11 September 2008 doi Introduction The development of new experimental techniques allowing for quantitative measurements and the proceeding level of knowledge in cell biology allows the application of mathematical modeling approaches for testing and validation of hypotheses and for the prediction of new phenomena. This approach is the promising idea of systems biology. Along with the rising relevance of mathematical modeling the importance of experimental design issues increases. The term experimental design or design of experiments DoE refers to the process of planning the experiments in a way that allows for an efficient statistical inference. A proper experimental design enables a maximum .

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