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

Tests for differentiation in gene expression using a data-driven order or weights for hypotheses.

Gerhard Hommel1, Siegfried Kropf

  • 1Institut für Medizinische Biometrie, Epidemiologie und Informatik, Universität Mainz, Germany. hommel@imbei.uni-mainz.de

Biometrical Journal. Biometrische Zeitschrift
|September 16, 2005
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

Association of red blood cell transfusions with periventricular leukomalacia in very preterm infants.

Vox sanguinis·2026
Same author

Relevance of different prognostic scores in primary CNS lymphoma in the era of intensified treatment regimens: A retrospective, multicenter analysis of 174 patients.

European journal of haematology·2024
Same author

Plasma NGAL levels in stable kidney transplant recipients and the risk of allograft loss.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2023
Same author

Induction treatment in high-grade B-cell lymphoma with a concurrent <i>MYC</i> and <i>BCL2</i> and/or <i>BCL6</i> rearrangement: a systematic review and meta-analysis.

Frontiers in oncology·2023
Same author

Previous antibiotic therapy as independent risk factor for the presence of vancomycin-resistant enterococci in surgical inpatients. Results from a matched case-control study.

BMC infectious diseases·2023
Same author

Quantitative normal values of helical flow, flow jets and wall shear stress of healthy volunteers in the ascending aorta.

European radiology·2022
Same journal

Comparison of Different Methods for the Meta-Analysis of Diagnostic Test Accuracy Studies-A Simulation Study.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

When to Adjust for Multiple Testing: A Unifying Guiding Principle.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Ensuring Quality in Preclinical Research: The Importance of Being Human.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Addressing Cluster-Level Treatment Effect Heterogeneity in Sample Size Determination for Hierarchical 2 × 2 Factorial Designs.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

A Multiple Imputation Approach to Distinguish Curative From Life-Prolonging Effects in the Presence of Missing Covariates.

Biometrical journal. Biometrische Zeitschrift·2026
Same journal

Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach.

Biometrical journal. Biometrische Zeitschrift·2026
See all related articles

This study introduces a novel smoothed procedure for analyzing high-dimensional gene expression data from microarrays. The method offers high statistical power while controlling type I error rates, improving upon existing weighted p-value techniques.

Area of Science:

  • Genomics
  • Statistical Bioinformatics
  • High-Dimensional Data Analysis

Background:

  • Microarray analysis often involves high-dimensional data with few subjects.
  • Existing methods use weighted p-values and permutation tests to control type I error rates.
  • Current procedures demonstrate good power when endpoint variances are approximately equal.

Purpose of the Study:

  • To develop an alternative, powerful statistical procedure for analyzing high-dimensional microarray data.
  • To improve upon existing sequential analysis of weighted p-values.
  • To offer a robust method that controls the multiple type I error rate.

Main Methods:

  • A novel smoothed procedure based on completely sorting endpoints is proposed.
  • The method allows for minor perturbations in the sequence of p-values.

Related Experiment Videos

  • It builds upon principles of spherical tests and permutation tests.

    • Main Results:

    • The proposed smoothed procedure is relatively easy to implement.
    • It exhibits high statistical power under similar conditions to weight-based procedures.
    • The method effectively controls the multiple type I error rate.

    Conclusions:

    • The smoothed sorting procedure provides a powerful and practical alternative for high-dimensional gene expression analysis.
    • This approach enhances statistical inference in microarray studies.
    • It offers advantages in power and ease of performance compared to prior methods.