MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MultipleTesting.com: A tool for life science researchers for multiple hypothesis testing correction
Authors
Keywords
Genomics, Research errors, Genetics, Decision trees, Gene expression, Metabolomics, Test statistics, Statistical inference
Journal
PLoS One
Volume 16, Issue 6, Pages e0245824
Publisher
Public Library of Science (PLoS)
Online
2021-06-10
DOI
10.1371/journal.pone.0245824
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A selective inference approach for false discovery rate control using multiomics covariates yields insights into disease risk
- (2020) Ronald Yurko et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Scientists rise up against statistical significance
- (2019) Valentin Amrhein et al. NATURE
- Retiring statistical significance would give bias a free pass
- (2019) John P. A. Ioannidis NATURE
- AdaPT: an interactive procedure for multiple testing with side information
- (2018) Lihua Lei et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- A direct approach to estimating false discovery rates conditional on covariates
- (2018) Simina M. Boca et al. PeerJ
- Advances in p-Value Based Multiple Test Procedures
- (2017) Ajit C. Tamhane et al. Journal of Biopharmaceutical Statistics
- Data-driven hypothesis weighting increases detection power in genome-scale multiple testing
- (2016) Nikolaos Ignatiadis et al. NATURE METHODS
- Estimating the proportion of true null hypotheses when the statistics are discrete
- (2015) Isaac Dialsingh et al. BIOINFORMATICS
- False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex
- (2015) James G. Scott et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Comparing samples—part II
- (2014) Martin Krzywinski et al. NATURE METHODS
- Multiple hypothesis testing in genomics
- (2014) Jelle J. Goeman et al. STATISTICS IN MEDICINE
- Multiple comparisons in mass-spectrometry-based -omics technologies
- (2013) Pietro Franceschi et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- Graphical approaches for multiple comparison procedures using weighted Bonferroni, Simes, or parametric tests
- (2011) Frank Bretz et al. BIOMETRICAL JOURNAL
- Simultaneous Testing of Grouped Hypotheses: Finding Needles in Multiple Haystacks
- (2010) T. Tony Cai et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Comments on the analysis of unbalanced microarray data
- (2009) Kathleen F. Kerr BIOINFORMATICS
- On multiple-testing correction in genome-wide association studies
- (2008) Valentina Moskvina et al. GENETIC EPIDEMIOLOGY
- False Discovery Rates and Related Statistical Concepts in Mass Spectrometry-Based Proteomics
- (2007) Hyungwon Choi et al. JOURNAL OF PROTEOME RESEARCH
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now