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Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture
Integrated Discrete Multiple Organ Co-culture (IDMOC) is emerging as an in-vitro alternative to in-vivo animal models for pharmacology studies. IDMOC allows dose-response relationships to be investigated at the tissue and organoid levels, yet, these relationships often exhibit responses that are far...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844122/ https://www.ncbi.nlm.nih.gov/pubmed/27110941 http://dx.doi.org/10.1371/journal.pone.0152985 |
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author | Ingersoll, Thomas Cole, Stephanie Madren-Whalley, Janna Booker, Lamont Dorsey, Russell Li, Albert Salem, Harry |
author_facet | Ingersoll, Thomas Cole, Stephanie Madren-Whalley, Janna Booker, Lamont Dorsey, Russell Li, Albert Salem, Harry |
author_sort | Ingersoll, Thomas |
collection | PubMed |
description | Integrated Discrete Multiple Organ Co-culture (IDMOC) is emerging as an in-vitro alternative to in-vivo animal models for pharmacology studies. IDMOC allows dose-response relationships to be investigated at the tissue and organoid levels, yet, these relationships often exhibit responses that are far more complex than the binary responses often measured in whole animals. To accommodate departure from binary endpoints, IDMOC requires an expansion of analytic techniques beyond simple linear probit and logistic models familiar in toxicology. IDMOC dose-responses may be measured at continuous scales, exhibit significant non-linearity such as local maxima or minima, and may include non-independent measures. Generalized additive mixed-modeling (GAMM) provides an alternative description of dose-response that relaxes assumptions of independence and linearity. We compared GAMMs to traditional linear models for describing dose-response in IDMOC pharmacology studies. |
format | Online Article Text |
id | pubmed-4844122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48441222016-05-05 Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture Ingersoll, Thomas Cole, Stephanie Madren-Whalley, Janna Booker, Lamont Dorsey, Russell Li, Albert Salem, Harry PLoS One Research Article Integrated Discrete Multiple Organ Co-culture (IDMOC) is emerging as an in-vitro alternative to in-vivo animal models for pharmacology studies. IDMOC allows dose-response relationships to be investigated at the tissue and organoid levels, yet, these relationships often exhibit responses that are far more complex than the binary responses often measured in whole animals. To accommodate departure from binary endpoints, IDMOC requires an expansion of analytic techniques beyond simple linear probit and logistic models familiar in toxicology. IDMOC dose-responses may be measured at continuous scales, exhibit significant non-linearity such as local maxima or minima, and may include non-independent measures. Generalized additive mixed-modeling (GAMM) provides an alternative description of dose-response that relaxes assumptions of independence and linearity. We compared GAMMs to traditional linear models for describing dose-response in IDMOC pharmacology studies. Public Library of Science 2016-04-25 /pmc/articles/PMC4844122/ /pubmed/27110941 http://dx.doi.org/10.1371/journal.pone.0152985 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Ingersoll, Thomas Cole, Stephanie Madren-Whalley, Janna Booker, Lamont Dorsey, Russell Li, Albert Salem, Harry Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title | Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title_full | Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title_fullStr | Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title_full_unstemmed | Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title_short | Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture |
title_sort | generalized additive mixed-models for pharmacology using integrated discrete multiple organ co-culture |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4844122/ https://www.ncbi.nlm.nih.gov/pubmed/27110941 http://dx.doi.org/10.1371/journal.pone.0152985 |
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