Unknown

Dataset Information

0

Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture.


ABSTRACT: 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.

SUBMITTER: Ingersoll T 

PROVIDER: S-EPMC4844122 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

altmetric image

Publications

Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture.

Ingersoll Thomas T   Cole Stephanie S   Madren-Whalley Janna J   Booker Lamont L   Dorsey Russell R   Li Albert A   Salem Harry H  

PloS one 20160425 4


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  ...[more]

Similar Datasets

| S-EPMC4514424 | biostudies-other
| S-EPMC3982924 | biostudies-literature
| S-EPMC4560367 | biostudies-literature
2016-12-22 | E-MTAB-4175 | biostudies-arrayexpress
| S-EPMC6858726 | biostudies-literature
| S-EPMC3790557 | biostudies-literature
| S-EPMC5880372 | biostudies-literature
| S-EPMC2883299 | biostudies-literature
| S-EPMC6542350 | biostudies-literature
| S-EPMC3638824 | biostudies-other