Maximum Rank Reproducibility: A Nonparametric Approach to Assessing Reproducibility in Replicate Experiments

DOI10.1080/01621459.2017.1397521zbMath1402.62284OpenAlexW2766240471WikidataQ93089091 ScholiaQ93089091MaRDI QIDQ4559688

Debashis Ghosh, Yafei Lyu, Qunhua Li, Daisy Philtron

Publication date: 4 December 2018

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://europepmc.org/articles/pmc6596287

zbMATH Keywords

associationfalse discovery rategenomicsirreproducible discovery ratehigh-throughput experiment

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Statistical ranking and selection procedures (62F07)

Related Items

Segmented Correspondence Curve Regression for Quantifying Covariate Effects on the Reproducibility of High-Throughput Experiments

Uses Software

• idr
• PePr
• DESeq2

Cites Work

• Unnamed Item
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