19 March 2009 Systems approaches in molecular and cell biology: making sense out of data and providing meaning to models
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Abstract
Two very different research strategies and mathematical modeling cultures will be outlined: Bottom-up theory-driven modeling and top-down data-driven modeling. The former encapsulates prior knowledge and hypotheses, while the latter extracts relevant co-variation patterns within and between large data tables. The former relies on the scientist defining non-linear differential equations to model the dynamics of a process; the latter automatically finds and displays dominant latent structures by multivariate eigen-structure approximation. The two approaches have different strengths and weaknesses. Based on our experiences, we therefore here suggest a possible way for combining these approaches.
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Olaf Wolkenhauer, Olaf Wolkenhauer, Angelyn Lao, Angelyn Lao, Stig Omholt, Stig Omholt, Harald Martens, Harald Martens, } "Systems approaches in molecular and cell biology: making sense out of data and providing meaning to models", Proc. SPIE 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII, 734318 (19 March 2009); doi: 10.1117/12.822742; https://doi.org/10.1117/12.822742
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