Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control

DOI10.1214/11-AOAS510zbMath1243.62135arXiv1206.6636WikidataQ36537783 ScholiaQ36537783MaRDI QIDQ439138

Karen Messer, Minya Pu, Loki Natarajan

Publication date: 1 August 2012

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

Full work available at URL: https://arxiv.org/abs/1206.6636

zbMATH Keywords

concordancecancermeta-analysismicroarraysvalidationnext generation sequencinggene expression analysisgene-rankingrank based methods

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items

Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control ⋮ Replicability analysis for genome-wide association studies

Uses Software

• GeneSigDB
• Oncomine

Cites Work

• Unnamed Item
• Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control
• Sums of dependent Bernoulli random variables and disease clustering
• The control of the false discovery rate in multiple testing under dependency.
• A generalized correlated binomial distribution with application in multiple testing problems
• Large-Scale Multiple Testing under Dependence
• Cross-study validation and combined analysis of gene expression microarray data
• Screening for Partial Conjunction Hypotheses
• Selective inference in complex research
• Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates

This page was built for publication: Statistical tests for the intersection of independent lists of genes: sensitivity, FDR, and type I error control