Unknown

Dataset Information

0

Determining minimal output sets that ensure structural identifiability.


ABSTRACT: The process of inferring parameter values from experimental data can be a cumbersome task. In addition, the collection of experimental data can be time consuming and costly. This paper covers both these issues by addressing the following question: "Which experimental outputs should be measured to ensure that unique model parameters can be calculated?". Stated formally, we examine the topic of minimal output sets that guarantee a model's structural identifiability. To that end, we introduce an algorithm that guides a researcher as to which model outputs to measure. Our algorithm consists of an iterative structural identifiability analysis and can determine multiple minimal output sets of a model. This choice in different output sets offers researchers flexibility during experimental design. Our method can determine minimal output sets of large differential equation models within short computational times.

SUBMITTER: Joubert D 

PROVIDER: S-EPMC6231658 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

altmetric image

Publications

Determining minimal output sets that ensure structural identifiability.

Joubert D D   Stigter J D JD   Molenaar J J  

PloS one 20181112 11


The process of inferring parameter values from experimental data can be a cumbersome task. In addition, the collection of experimental data can be time consuming and costly. This paper covers both these issues by addressing the following question: "Which experimental outputs should be measured to ensure that unique model parameters can be calculated?". Stated formally, we examine the topic of minimal output sets that guarantee a model's structural identifiability. To that end, we introduce an al  ...[more]

Similar Datasets

| S-EPMC10491402 | biostudies-literature
| S-EPMC9672907 | biostudies-literature
| S-EPMC5085250 | biostudies-literature
| S-EPMC7665633 | biostudies-literature
| S-EPMC6612898 | biostudies-other
| S-EPMC5905618 | biostudies-literature
| S-EPMC3882775 | biostudies-literature
| S-EPMC3867968 | biostudies-literature
| S-EPMC8292772 | biostudies-literature
| S-EPMC3222653 | biostudies-literature