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

Practical guidelines for assessing power and false discovery rate for a fixed sample size in microarray experiments.

Tiejun Tong1, Hongyu Zhao

  • 1Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, U.S.A.

Statistics in Medicine
|March 14, 2008
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

Understanding the determinants of public trust in the health care system in China: an analysis of a cross-sectional survey.

Journal of health services research & policy·2018
Same author

Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth.

The Journal of pediatrics·2018
Same author

Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome.

Biometrics·2018
Same author

LncRNA UCA1 sponges miR-204-5p to promote migration, invasion and epithelial-mesenchymal transition of glioma cells via upregulation of ZEB1.

Pathology, research and practice·2018
Same author

International variations in trust in health care systems.

The International journal of health planning and management·2018
Same author

Toll-like receptor 9 negatively regulates pancreatic islet beta cell growth and function in a mouse model of type 1 diabetes.

Diabetologia·2018
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
Same journal

Beyond Fixed Thresholds: Optimizing Summaries of Wearable Device Data via Piecewise Linearization of Quantile Functions.

Statistics in medicine·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
See all related articles

Researchers explored gene expression analysis in microarray studies. This study focuses on practical methods for assessing statistical power and false discovery rate (FDR) with a fixed sample size, crucial for reliable gene identification.

Area of Science:

  • Genomics
  • Bioinformatics
  • Statistical Genetics

Background:

  • Microarray studies aim to identify differentially expressed genes across conditions.
  • Adequate sample size is critical for achieving sufficient statistical power in gene expression analysis.
  • Practical constraints like cost and experimental difficulties often limit attainable sample sizes.

Purpose of the Study:

  • To address practical questions regarding power and false discovery rate (FDR) assessment for a fixed sample size in microarray studies.
  • To explore the interrelationships between statistical power, sample size, and FDR.
  • To provide practical guidance for researchers facing limitations in sample size.

Main Methods:

  • Exploration of theoretical relationships between power, sample size, and FDR.

Related Experiment Videos

  • Conducting simulation studies to evaluate findings under various scenarios.
  • Analysis of a real-world microarray dataset to validate proposed methods.

    • Main Results:

    • Established practical methods for assessing power and FDR with fixed sample sizes.
    • Quantified the trade-offs between sample size, power, and FDR.
    • Demonstrated the applicability of the methods through simulations and real data analysis.

    Conclusions:

    • The study provides valuable tools for researchers to assess the feasibility and interpret results of microarray experiments with limited sample sizes.
    • Understanding the interplay of power, sample size, and FDR is essential for robust gene expression analysis.
    • The findings facilitate more informed experimental design and result interpretation in genomics research.