Share Email Print
cover

Proceedings Paper

Systems approaches in molecular and cell biology: making sense out of data and providing meaning to models
Author(s): Olaf Wolkenhauer; Angelyn Lao; Stig Omholt; Harald Martens
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 19 March 2009
PDF: 11 pages
Proc. SPIE 7343, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII, 734318 (19 March 2009); doi: 10.1117/12.822742
Show Author Affiliations
Olaf Wolkenhauer, Univ. of Rostock (Germany)
Angelyn Lao, Univ. of Rostock (Germany)
Stig Omholt, Norwegian Univ. of Life Sciences (Norway)
Harald Martens, Norwegian Univ. of Life Sciences (Norway)


Published in SPIE Proceedings Vol. 7343:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII
Harold H. Szu; F. Jack Agee, Editor(s)

© SPIE. Terms of Use
Back to Top