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 Experiment Videos

Statistical significance analysis of longitudinal gene expression data.

Xu Guo1, Huilin Qi, Catherine M Verfaillie

  • 1Division of Biostatistics, School of Public Health, University of Minnesota, A460 Mayo Building, MMC 303, Minneapolis, MN 55455-0378, USA.

Bioinformatics (Oxford, England)
|September 12, 2003
PubMed
Summary

This study introduces a new statistical method to analyze longitudinal gene expression data, accounting for within-subject correlations. This robust statistic helps identify genes with temporal expression changes, crucial for understanding biological processes.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Increasing <i>SOX10</i> Expression Overcomes Schizophrenia-Associated Early Oligodendrocyte Growth Deficits In Vitro.

Biological psychiatry global open science·2025
Same author

Discovery of BMS-986408, a First-In-Class Dual DGKα and DGKζ Inhibitor that Unleashes PD-1 Checkpoint and CAR T-cell Immunotherapies.

Cancer immunology research·2025
Same author

Discovery and Synthesis of Heterobifunctional Degraders of Rearranged during Transfection (RET) Kinase.

Journal of medicinal chemistry·2024
Same author

Retraction Note: Pluripotency of mesenchymal stem cells derived from adult marrow.

Nature·2024
Same author

Glycolytic state of aortic endothelium favors hematopoietic transition during the emergence of definitive hematopoiesis.

Science advances·2024
Same author

Osmolar Modulation Drives Reversible Cell Cycle Exit and Human Pluripotent Cell Differentiation via NF-κВ and WNT Signaling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023

Area of Science:

  • Genomics
  • Biostatistics
  • Molecular Biology

Background:

  • Time-course microarray experiments generate longitudinal gene expression data.
  • Within-subject correlation is a key characteristic of longitudinal data, where samples from the same subject are more similar.
  • Ignoring this correlation can lead to inaccurate statistical inference.

Purpose of the Study:

  • To develop a robust statistical method for analyzing longitudinal gene expression data.
  • To detect genes exhibiting temporal changes in expression.
  • To highlight the importance of accounting for within-subject correlation.

Main Methods:

  • Application of estimating equation techniques to create a robust statistic.
  • Variant of the robust Wald statistic designed for longitudinal gene expression data.

Related Experiment Videos

  • Association of significance levels using Significance Analysis of Microarrays or mixture models.

    • Main Results:

    • A novel robust statistic effectively detects genes with temporal expression changes.
    • Demonstrated utility in a study of osteoblast differentiation.
    • Simulated data confirmed pitfalls of ignoring within-subject correlation.

    Conclusions:

    • The proposed statistic provides a valid approach for analyzing longitudinal gene expression data.
    • Accurate statistical inference requires accounting for within-subject correlation.
    • This method enhances the understanding of biological processes through temporal gene expression analysis.