| Title |
When the Optimal Is Not the Best: Parameter Estimation in Complex Biological Models
|
|---|---|
| Published in |
PLOS ONE, October 2010
|
| DOI | 10.1371/journal.pone.0013283 |
| Pubmed ID | |
| Authors |
Diego Fernández Slezak, Cecilia Suárez, Guillermo A. Cecchi, Guillermo Marshall, Gustavo Stolovitzky |
| Abstract |
The vast computational resources that became available during the past decade enabled the development and simulation of increasingly complex mathematical models of cancer growth. These models typically involve many free parameters whose determination is a substantial obstacle to model development. Direct measurement of biochemical parameters in vivo is often difficult and sometimes impracticable, while fitting them under data-poor conditions may result in biologically implausible values. |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 7% |
| United Kingdom | 3 | 2% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| Cyprus | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 113 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 34% |
| Researcher | 32 | 24% |
| Student > Master | 11 | 8% |
| Professor > Associate Professor | 8 | 6% |
| Professor | 6 | 5% |
| Other | 21 | 16% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 32% |
| Computer Science | 21 | 16% |
| Engineering | 15 | 11% |
| Mathematics | 10 | 8% |
| Biochemistry, Genetics and Molecular Biology | 8 | 6% |
| Other | 20 | 15% |
| Unknown | 15 | 11% |