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

Social network analysis of gene expression data.

Jung Hun Ohn1, Jihoon Kim, Ju Han Kim

  • 1SNUBI: Seoul National University Biomedical Informatics, SNU School of Medicine, 110-799, Korea.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
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

Multidimensional sampling framework reveals plant-driven effects on microbial spatial heterogeneity and niche differentiation in a natural ecosystem.

Environmental microbiome·2025
Same author

Integrated Use of Late Gadolinium Enhancement and Left Ventricular Global Longitudinal Strain in Hypertrophic Cardiomyopathy.

JACC. Asia·2025
Same author

The Effect of Mavacamten on Left Atrial Strain Dynamics in Obstructive Hypertrophic Cardiomyopathy.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography·2025
Same author

Freshwater shrimp (Neocaridina denticulata) as a nature-based restoration tool for macrophyte recovery and improved water quality in eutrophic ponds.

Journal of environmental management·2025
Same author

Adverse drug reactions during nontuberculous mycobacterial pulmonary disease treatment: a systematic review and meta-analysis.

Annals of the American Thoracic Society·2025
Same author

A self-heating, multi-channel slider cassette for innovative point-of-care molecular diagnostics from whole blood samples.

Biosensors & bioelectronics·2025
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

Social network analysis of yeast gene expression data identified key genes controlling biological systems. This reveals core and intermediary players critical for genomic interaction network structure.

Area of Science:

  • Systems biology
  • Genomics
  • Bioinformatics

Background:

  • Understanding genomic interaction networks is crucial for deciphering biological system control.
  • Previous studies have explored gene expression patterns, but network structures require further investigation.

Purpose of the Study:

  • To investigate the structural organization of the genomic interaction network.
  • To identify critical regulatory genes within the network using social network analysis.

Main Methods:

  • Applied social affiliation network analysis to a yeast gene expression compendium dataset.
  • Utilized hundreds of systematic gene perturbations for analysis.
  • Calculated network density and centrality indices for genes and gene groups.

Related Experiment Videos

Main Results:

  • Identified core-peripheral structures within the genomic interaction network.
  • Revealed significant intermediary genes acting as key players in the biological system.
  • Network analysis highlighted genes critical for controlling the overall biological system.

Conclusions:

  • Social network analysis provides a powerful framework for understanding complex genomic interactions.
  • The identified core and intermediary genes are potential targets for further functional studies.
  • This approach enhances our understanding of biological system regulation and control.