TAILIEUCHUNG - Báo cáo khoa học: Systems biology: model based evaluation and comparison of potential explanations for given biological data

Systems biology and its usage of mathematical modeling to analyse biologi-cal data is rapidly becoming an established approach to biology. A crucial advantage of this approach is that more information can be extracted from observations of intricate dynamics, which allows nontrivial complex expla-nations to be evaluated and compared. | ỊFEBS Journal MINIREVIEW Systems biology model based evaluation and comparison of potential explanations for given biological data Gunnar Cedersund1 and Jacob Roll2 Department of CellBiology Linkoping University Sweden 2Department of ElectricalEngineering Linkoping University Sweden Keywords data analysis explanations hypothesis testing mathematicalmodeling statistical testing systems biology Correspondence G. Cedersund Department of CellBiology Linkoping University SE58185 Linkoping Sweden Fax 46 0 13 149403 Tel 46 0 702 512323 E-mail gunnar@ Received 8 April2008 revised 23 November 2008 accepted 8 December 2008 doi Systems biology and its usage of mathematical modeling to analyse biological data is rapidly becoming an established approach to biology. A crucial advantage of this approach is that more information can be extracted from observations of intricate dynamics which allows nontrivial complex explanations to be evaluated and compared. In this minireview we explain this process and review some of the most central available analysis tools. The focus is on the evaluation and comparison of given explanations for a given set of experimental data and prior knowledge. Three types of methods are discussed a for evaluation of whether a given model is sufficiently able to describe the given data to be nonrejectable b for evaluation of whether a slightly superior model is significantly better and c for a general evaluation and comparison of the biologically interesting features in a model. The most central methods are reviewed both in terms of underlying assumptions including references to more advanced literature for the theoretically oriented reader and in terms of practical guidelines and examples for the practically oriented reader. Many of the methods are based upon analysis tools from statistics and engineering and we emphasize that the systems biology focus on acceptable explanations puts these methods in a nonstandard

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