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Bayesian parameter estimation for dynamical models in systems biology

Bayesian parameter estimation for dynamical models in systems biology

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2737143229

Bayesian parameter estimation for dynamical models in systems biology

About this item

Full title

Bayesian parameter estimation for dynamical models in systems biology

Publisher

United States: Public Library of Science

Journal title

PLoS computational biology, 2022-10, Vol.18 (10), p.e1010651

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Dynamical systems modeling, particularly via systems of ordinary differential equations, has been used to effectively capture the temporal behavior of different biochemical components in signal transduction networks. Despite the recent advances in experimental measurements, including sensor development and '-omics' studies that have helped populate...

Alternative Titles

Full title

Bayesian parameter estimation for dynamical models in systems biology

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2737143229

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2737143229

Other Identifiers

ISSN

1553-7358,1553-734X

E-ISSN

1553-7358

DOI

10.1371/journal.pcbi.1010651

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