Name
Abstract | ||
|---|---|---|
Motivation: CellML is an implementation-independent model description language for specifying and exchanging biological processes. The focus of CellML is the representation of mathematical formulations of biological processes. The language captures the mathematical and model building constructs well, but does not lend itself to capturing the biology these models represent. Results: This article describes the development of an ontological framework for annotating CellML models with biophysical concepts. We demonstrate that, by using these ontological mappings, in combination with a set of graph reduction rules, it is possible to represent the underlying biological process described in a CellML model. Contact: sarala.dissanayake@auckland.ac.nz Supplementary information: Supplementary data are available at Bioinformatics online. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1093/bioinformatics/btp391 | Bioinformatics |
Field | DocType | Volume |
Ontology,Data mining,CellML,Annotation,Computer science,Model building,Natural language processing,Artificial intelligence,Bioinformatics,Graph reduction | Journal | 25 |
Issue | ISSN | Citations |
17 | 1367-4803 | 4 |
PageRank | References | Authors |
0.52 | 6 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. M. Wimalaratne | 1 | 5 | 1.14 |
| M. D. B. Halstead | 2 | 5 | 1.14 |
| C. M. Lloyd | 3 | 5 | 1.14 |
| E. J. Crampin | 4 | 5 | 1.14 |
| Mjolsness E D | 5 | 831 | 101.83 |