Measuring reproducibility of high-throughput experiments

DOI10.1214/11-AOAS466zbMath1231.62124arXiv1110.4705OpenAlexW3104066961WikidataQ112778340 ScholiaQ112778340MaRDI QIDQ652341

Qunhua Li, James B. Brown, Haiyan Huang, Peter J. Bickel

Publication date: 14 December 2011

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1110.4705

zbMATH Keywords

copulaiterative algorithmassociationmixture modelgenomicsirreproducible discovery rate

Mathematics Subject Classification ID

Multivariate analysis (62H99) Applications of statistics to biology and medical sciences; meta analysis (62P10) Graphical methods in statistics (62A09)

Related Items (8)

A Survey of Reporting Practices of Computer Simulation Studies in Statistical Research ⋮ Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments ⋮ Challenges for machine learning in RNA-protein interaction prediction ⋮ Segmented Correspondence Curve Regression for Quantifying Covariate Effects on the Reproducibility of High-Throughput Experiments ⋮ Measuring reproducibility of high-throughput experiments ⋮ Detection of sparse positive dependence ⋮ idr ⋮ Reproducibility of biomarker identifications from mass spectrometry proteomic data in cancer studies

Uses Software

• F-Seq

Cites Work

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• Measuring reproducibility of high-throughput experiments
• The positive false discovery rate: A Bayesian interpretation and the \(q\)-value
• Multivariate survival distributions
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• Chi-plots for assessing dependence
• On blest's measure of rank correlation
• Data-Driven Rank Tests for Independence
• A Direct Approach to False Discovery Rates
• Operating Characteristics and Extensions of the False Discovery Rate Procedure
• A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
• Theory & Methods: Rank Correlation — an Alternative Measure
• Detecting Dependence With Kendall Plots
• A WEIGHTED RANK MEASURE OF CORRELATION

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