ArticleBioinformatics (Oxford, England)2009
Fewer permutations, more accurate P-values.
Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.
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Who cites it
86 citing papers in PubMed, 3 syntheses or guidelines pooled it.
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- The RNA-binding Selectivity of the RGG/RG Motifs of hnRNP U is Abolished by Elements Within the C-terminal Intrinsically Disordered Region.Journal of molecular biology · 2024Article
- Information Difference of Transfer Entropies between Head Motion and Eye Movement Indicates a Proxy of Driving.Entropy (Basel, Switzerland) · 2023Article
- Dysphagia at 1 Year is Associated With Mean Dose to the Inferior Section of the Brain Stem.International journal of radiation oncology, biology, physics · 2023Article
- Computational Construction of Toxicant Signaling Networks.Chemical research in toxicology · 2023Article
- Similar object shape representation encoded in the inferolateral occipitotemporal cortex of sighted and early blind people.PLoS biology · 2023Article
- Ranking Antibody Binding Epitopes and Proteins Across Samples from Whole Proteome Tiled Linear Peptides.bioRxiv : the preprint server for biology · 2023Article
- PhyloMed: a phylogeny-based test of mediation effect in microbiome.Genome biology · 2023Article
26 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
motivationPermutation tests have become a standard tool to assess the statistical significance of an event under investigation. The statistical significance, as expressed in a P-value, is calculated as the fraction of permutation values that are at least as extreme as the original statistic, which was derived from non-permuted data. This empirical method directly couples both the minimal obtainable P-value and the resolution of the P-value to the number of permutations. Thereby, it imposes upon itself the need for a very large number of permutations when small P-values are to be accurately estimated. This is computationally expensive and often infeasible.
resultsA method of computing P-values based on tail approximation is presented. The tail of the distribution of permutation values is approximated by a generalized Pareto distribution. A good fit and thus accurate P-value estimates can be obtained with a drastically reduced number of permutations when compared with the standard empirical way of computing P-values. AVAILABILITY: The Matlab code can be obtained from the corresponding author on request. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.