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

Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.0K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
7.0K
Epistasis Analysis01:09

Epistasis Analysis

5.5K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.5K
Protein Networks02:26

Protein Networks

4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.4K
IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

13.9K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
13.9K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

183
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...
183
Probability Laws01:49

Probability Laws

43.7K
Overview
43.7K

You might also read

Related Articles

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

Sort by
Same author

Bayesian Machine Learning Tools for Alcohol Use Disorder Research: The bpaup R Package.

Multivariate behavioral research·2026
Same author

Meeting the moment: Addressing racial disparities in cancer survival.

Cancer·2026
Same author

Evaluating Estimators in Partially Identified Models.

Epidemiology (Cambridge, Mass.)·2026
Same author

Associations Between Tattooing and Health Status: A Population-Based Cross-Sectional Study of Adults in Utah, 2020-2022.

Public health reports (Washington, D.C. : 1974)·2026
Same author

Neighborhood deprivation and oncotype DX recurrence scores among Black and White women: the interplay between race, place, and tumor biology.

NPJ breast cancer·2026
Same author

Differential misclassification by time: a proposed validation substudy design to account for time trends in bias parameters.

Epidemiology (Cambridge, Mass.)·2026
Same journal

Correction to: Home dampness and molds and occurrence of respiratory tract infections in the first 27 years of life: the Espoo Cohort Study.

American journal of epidemiology·2026
Same journal

A SIMPLE AND POWERFUL TEST OF VACCINE WANING.

American journal of epidemiology·2026
Same journal

Association Between maternal body mass index, offspring growth and pubertal timing: results from a longitudinal birth cohort study.

American journal of epidemiology·2026
Same journal

Correction to: Developing a novel algorithm to identify incident and prevalent dementia in Medicare claims-the ARIC Study.

American journal of epidemiology·2026
Same journal

RE: advancing observational research on arts and health: theory-informed approaches using the RADIANCE framework.

American journal of epidemiology·2026
Same journal

Maternal Cesarean Section and Offspring ASD or ADHD Risk: A Nurses' Health Study II Analysis.

American journal of epidemiology·2026
See all related articles

Related Experiment Video

Updated: Dec 15, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.6K

Bayesian Pathway Analysis for Complex Interactions.

James W Baurley, Anders Kjærsgaard, Michael E Zwick

    American Journal of Epidemiology
    |July 9, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces the Algorithm for Learning Pathway Structure (ALPS), a novel Bayesian approach for analyzing complex health data. ALPS improves inference in high-dimensional studies by integrating prior knowledge with empirical data.

    Keywords:
    Bayesian analysisbreast neoplasmspharmacogeneticstamoxifen

    More Related Videos

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    2.0K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.6K

    Related Experiment Videos

    Last Updated: Dec 15, 2025

    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
    05:01

    A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

    Published on: July 1, 2020

    3.6K
    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
    07:35

    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

    Published on: October 13, 2023

    2.0K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.6K

    Area of Science:

    • Epidemiology
    • Bioinformatics
    • Statistical Genetics

    Background:

    • Modern epidemiologic studies investigate complex pathways linking social, behavioral, and molecular factors to health.
    • Conventional analytical methods face challenges with high-dimensional data, increasing risks of false inferences.

    Purpose of the Study:

    • To introduce a novel Bayesian pathway analysis approach, the Algorithm for Learning Pathway Structure (ALPS).
    • To address limitations in existing complex data analysis methods.
    • To identify and quantify complex interactions within networks of factors mediating exposure-outcome associations.

    Main Methods:

    • Developed the Algorithm for Learning Pathway Structure (ALPS), a Bayesian approach.
    • ALPS integrates prior pathway information with empirical data.
    • Applied ALPS to a gene-drug interaction analysis in the Predictors of Breast Cancer Recurrence (ProBe CaRe) Study.

    Main Results:

    • ALPS effectively identifies and quantifies complex interactions in high-dimensional data.
    • Demonstrated ALPS's utility in a gene-drug interaction analysis.
    • Showcased ALPS's advantage over conventional methods in the ProBe CaRe Study.

    Conclusions:

    • ALPS offers a robust method for analyzing complex pathways in epidemiologic research.
    • The approach enhances the quality of inference in studies with high-dimensional data.
    • ALPS provides a powerful tool for understanding gene-drug interactions and other complex health-related pathways.