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

Estimation and control of multiple testing error rates for microarray studies.

Stanley B Pounds1

  • 1Department of Biostatistics, MS 768, St Jude Children's Research Hospital, Memphis, TN 38105, USA. stanley.pounds@stjude.org

Briefings in Bioinformatics
|June 10, 2006
PubMed
Summary

Microarray data analysis requires controlling statistical error rates. This review guides researchers in selecting appropriate methods, focusing on false discovery rate control for accurate gene expression studies.

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

Venetoclax in combination with cytarabine with or without idarubicin or azacitidine in children, adolescents, and young adults with relapsed or refractory acute myeloid leukaemia (VENAML): a multicentre, phase 1 expansion study.

The Lancet. Haematology·2026
Same author

The ASH HematOmics Program supports integrative analysis of genomic and clinical data in hematologic diseases.

Blood·2026
Same author

3D-super-enhancers are condensate-associated cis-regulatory communities.

Nucleic acids research·2026
Same author

Correction: Impact of Genetic Ancestry on Genomics and Survival Outcomes in T-cell Acute Lymphoblastic Leukemia.

Blood cancer discovery·2026
Same author

cellMCD Effectively Discovers Drug Resistance and Sensitivity Genes for Acute Myeloid Leukemia.

Genes·2026
Same author

Uncovering the genomic complexity of PAX5 intragenic tandem multiplication via long-read and short-read sequencing.

Blood·2026

Area of Science:

  • Bioinformatics
  • Statistical genetics
  • Computational biology

Background:

  • Microarray data analysis involves numerous statistical tests, increasing the risk of erroneous conclusions.
  • Accurate interpretation of microarray results necessitates effective estimation and control of error rates.
  • Numerous statistical methods have been developed to address error rates in microarray studies.

Purpose of the Study:

  • To provide guidance for researchers on selecting appropriate statistical methods for microarray data analysis.
  • To review methods for estimating or controlling error rates, particularly the false discovery rate.
  • To classify these methods for specific applications and outline diagnostic procedures.

Main Methods:

  • Review of statistical methods utilizing P-values to estimate or control error rates.

Related Experiment Videos

  • Classification of false discovery rate controlling methods.
  • Description of diagnostic procedures for identifying analytical issues.

    • Main Results:

    • A family of P-value-based methods for error rate control is described.
    • Methods are categorized to aid in selecting appropriate techniques for specific microarray analyses.
    • Diagnostic tools are presented to help identify potential problems in data analysis.

    Conclusions:

    • Effective control of error rates, such as the false discovery rate, is essential for reliable microarray data interpretation.
    • The review offers a structured approach to method selection and problem identification in microarray analysis.
    • Researchers can use this classification and diagnostic guidance to improve the rigor of their studies.