Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Multiple Allele Traits01:49

Multiple Allele Traits

The Concept of Multiple Allelism
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Technique of implanting 17 alpha-methyltestosterone to induce the sex reversal of Epinephelus malabaricus].

Ying yong sheng tai xue bao = The journal of applied ecology·2002
Same author

[Effect of different source iron on piglet's growth, metabolism and environment].

Ying yong sheng tai xue bao = The journal of applied ecology·2002
Same author

[Factors affecting colonization of introduced microorganisms on plant roots].

Ying yong sheng tai xue bao = The journal of applied ecology·2002
Same author

[Gastric evacuation rate of black sea bream(Sparus macrocephalus)].

Ying yong sheng tai xue bao = The journal of applied ecology·2002
Same author

[Assimilation efficiency of pacific oyster Crassortrea gigas].

Ying yong sheng tai xue bao = The journal of applied ecology·2002
Same author

[Correction of nasal deformity in unilateral cleft lip of adult cases].

Zhonghua zheng xing wai ke za zhi = Zhonghua zhengxing waike zazhi = Chinese journal of plastic surgery·2002

Related Experiment Video

Updated: Jul 3, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

A nonlinear mixed-effect mixture model for functional mapping of dynamic traits.

W Hou1, H Li, B Zhang

  • 1Department of Statistics, University of Florida, Gainesville, FL 32611, USA.

Heredity
|July 10, 2008
PubMed
Summary

This study introduces nonlinear mixed-effect (NLME) models into functional mapping for analyzing complex traits. The new NLME-based functional mapping method offers a more generalized approach for quantitative trait loci (QTL) analysis over time.

More Related Videos

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

Related Experiment Videos

Last Updated: Jul 3, 2026

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies
10:50

Using the FishSim Animation Toolchain to Investigate Fish Behavior: A Case Study on Mate-Choice Copying In Sailfin Mollies

Published on: November 8, 2018

Area of Science:

  • Genetics
  • Statistical Genomics
  • Bioinformatics

Background:

  • Functional mapping is a statistical tool for quantitative trait loci (QTL) analysis of complex dynamic traits.
  • Traditional methods may have limitations in capturing the full spectrum of genetic effects over time.

Purpose of the Study:

  • To integrate nonlinear mixed-effect (NLME) models into the functional mapping framework.
  • To enhance the applicability of functional mapping for complex dynamic traits.

Main Methods:

  • Incorporation of NLME models into a mixture-based functional mapping framework.
  • Implementation using a linearization algorithm based on first-order Taylor expansion.
  • Estimation of QTL genotypic-specific curve parameters (fixed effects) and their between-individual variation (random effects).

Main Results:

  • The NLME-based functional mapping model demonstrates greater generality compared to traditional approaches.
  • The model provides reliable estimates for both fixed and random effects of QTL.
  • Simulation studies validate the effectiveness and broader applicability of the proposed method.

Conclusions:

  • NLME-based functional mapping offers a generalized statistical tool for QTL analysis.
  • This approach is valuable for identifying ontogenetic patterns of QTL genetic effects across time-course experiments.
  • The method advances the statistical framework for dissecting complex genetic architectures of dynamic traits.