Abstract | ||
---|---|---|
Sensitivity analysis methods have been developed for over half a century. However, their application to systems biology is a relatively new concept and has not been fully investigated. In this paperwe focus on creating parameter rankings based on sloppy/stiff parameter sensitivity analysis, that can be used to find the most important parameters and processes (that have the greatest impact on the system output) and subsequently can be used to reduce the number of experiments needed to precisely estimate parameters values or to indicate molecular targets for new drugs. In order to test the proposed procedure we performed sensitivity analysis of the HSF/NF-кB pathway model - a model combining two signaling pathways essential for cell survival. |
Year | DOI | Venue |
---|---|---|
2016 | 10.5220/0005820002780283 | BIOINFORMATICS |
Field | DocType | Citations |
Computer science,Artificial intelligence,Machine learning | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Malgorzata Kardynska | 1 | 0 | 0.68 |
Jaroslaw Smieja | 2 | 8 | 5.49 |
Anna Naumowicz | 3 | 0 | 0.68 |
Patryk Janus | 4 | 6 | 2.59 |
Piotr Widlak | 5 | 2 | 2.09 |
Marek Kimmel | 6 | 145 | 20.47 |