AAPL: assessing association between p‐value lists

DOI10.1002/sam.11180OpenAlexW2027316542WikidataQ36791012 ScholiaQ36791012MaRDI QIDQ4969888

Tianwei Yu, Yize Zhao, Shihao Shen

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11180

zbMATH Keywords

agreementfalse discovery rate

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

AAPL

Uses Software

• R
• Bioconductor
• OrderedList
• kerfdr
• Pomelo II
• MetaPCA

Cites Work

• Unnamed Item
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Statistical Methods in Assessing Agreement
• Large-Scale Simultaneous Hypothesis Testing
• Statistical Tests Based on Permutations of the Observations
• Comments on: Augmenting the bootstrap to analyze high dimensional genomic data

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