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

Functional hierarchical models for identifying genes with different time-course expression profiles.

F Hong1, H Li

  • 1Plant Biology Laboratory, The Salk Institute, La Jolla, California 92037, USA.

Biometrics
|August 22, 2006
PubMed
Summary
This summary is machine-generated.

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

[Assessing the accuracy and comprehensiveness of large language models in responding to patient inquiries on placenta accreta spectrum].

Zhonghua yi xue za zhi·2025
Same author

Trend analysis and risk of gallbladder cancer mortality in China, 2013-2019.

Public health·2022
Same author

A dose-response meta-analysis to evaluate the relationship between high-density lipoprotein cholesterol and all-cause and cardiovascular disease mortality.

Journal of endocrinological investigation·2021
Same author

[Establishment of human colon cancer transplantation tumor model in normal immune mice].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2021
Same author

Routine antiseptic baths and MRSA decolonization: diverse approaches across Singapore's acute-care hospitals.

The Journal of hospital infection·2021
Same author

Potential predictive biomarkers of adalimumab response in patients with hidradenitis suppurativa.

The British journal of dermatology·2021

This study introduces a new model to find temporally differentially expressed (TDE) genes in time-course gene expression data. The method improves accuracy over traditional approaches for biological research.

Area of Science:

  • Biomedical research
  • Genomics
  • Bioinformatics

Background:

  • Time-course gene expression studies are crucial for understanding dynamic biological processes.
  • Accurate identification of temporally differentially expressed (TDE) genes is essential for biological discovery.

Purpose of the Study:

  • To develop a novel functional hierarchical model for detecting TDE genes in cross-sectional time-course data.
  • To provide a robust statistical framework for analyzing temporal gene expression patterns.

Main Methods:

  • Functional hierarchical modeling of gene expression profiles using basis function expansions.
  • Application of a Monte Carlo Expectation-Maximization (EM) algorithm for parameter estimation.
  • Utilizing a direct posterior probability approach to control the false discovery rate.

Related Experiment Videos

Main Results:

  • The proposed model demonstrated superior performance compared to two-way ANOVA in simulations.
  • Achieved higher sensitivity and specificity in identifying TDE genes.
  • Successfully identified genes with distinct temporal expression patterns in Caenorhabditis elegans development.

Conclusions:

  • The functional hierarchical model offers an effective approach for identifying TDE genes.
  • This method enhances the analysis of time-course gene expression data in biological research.
  • Provides a valuable tool for understanding temporal dynamics in gene regulation and development.