Abstract
AutoAnalyze is a highly customizable framework for the visualization and analysis of large-scale model graphs. Originally developed for use in the automotive domain, it also supports efficient computation within molecular networks represented by reaction equations. A static analysis approach is used for efficient treatment-condition-specific simulation. The chosen method relies on the computation of a global network data-flow resulting from the evaluation of individual genetic data. The approach facilitates complex analyses of biological components from a molecular network under specific therapeutic perturbations, as demonstrated in a case study. In addition to simulating the complex networks in a stable and reproducible way, kinetic constants can also be fine-tuned using a genetic algorithm and built-in statistical tools.
| Item Type: | Journal article |
|---|---|
| Faculties: | Medicine > Institute for Medical Information Processing, Biometry and Epidemiology |
| Subjects: | 600 Technology > 610 Medicine and health |
| URN: | urn:nbn:de:bvb:19-epub-61807-6 |
| ISSN: | 1177-9322 |
| Language: | English |
| Item ID: | 61807 |
| Date Deposited: | 09. May 2019, 08:24 |
| Last Modified: | 04. Nov 2020, 13:39 |
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