OpenAlex | Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: application to systems biology models

Novel global sensitivity analysis methodology accounting for the crucial role of the distribution of input parameters: application to systems biology models

Work

Year: 2012

Type: article

Abstract: SUMMARY The reliability of model predictions is affected by multiple sources of uncertainty; therefore, most of the efforts for modeling biological systems include a sensitivity analysis step aiming t... more

Source: International Journal of Robust and Nonlinear Control

Authors María Rodríguez-Fernández, Julio R. Banga, Francis J. Doyle

Institution University of California, Santa Barbara

Cites: 41

Cited by: 48

Related to: 10

FWCI: 5.283

Citation percentile (by year/subfield): 95.9

Topic: Probabilistic and Robust Engineering Design

Subfield: Statistics, Probability and Uncertainty

Field: Decision Sciences

Domain: Social Sciences

Sustainable Development Goal Life on land

Open Access status: green

Funders Institute for Collaborative Biotechnologies, Institute for Collaborative Biotechnologies

Grant IDS W911NF-09-D-0001, W911NF-07-1-0279