Systems approaches in molecular and cell biology: Making sense out of data; Providing meaning to models

College

College of Science

Department/Unit

Mathematics and Statistics Department

Document Type

Conference Proceeding

Source Title

Proceedings of SPIE

Volume

7343

First Page

369

Last Page

379

Publication Date

2009

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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Disciplines

Biology | Molecular Biology

Note

"2009 Systems Biology Award"

Keywords

Systems biology; Molecular biology; Cytology; Data integration (Computer science)

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