Integrating Prior Knowledge in Multiple Testing under Dependence with Applications to Detecting Differential DNA Methylation

DOI10.1111/j.1541-0420.2011.01730.xzbMath1270.62145OpenAlexW1978351838WikidataQ38328503 ScholiaQ38328503MaRDI QIDQ4649054

Pei Fen Kuan, Derek Y. Chiang

Publication date: 19 November 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01730.x

zbMATH Keywords

semiparametric modelkernel density estimationmicroarraysfalse discovery ratescpg islandnonhomogeneous hidden Markov models

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Paired and multiple comparisons; multiple testing (62J15)

Related Items (4)

Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models ⋮ Covariate-modulated large-scale multiple testing under dependence ⋮ Covariate adjusted differential variability analysis of DNA methylation with propensity score method ⋮ Selection-Corrected Statistical Inference for Region Detection With High-Throughput Assays

Uses Software

• FAMT

Cites Work

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• Simultaneous inference: when should hypothesis testing problems be combined?
• Large-Scale Multiple Testing under Dependence
• A general framework for multiple testing dependence
• A Factor Model Approach to Multiple Testing Under Dependence
• Empirical Bayes Analysis of a Microarray Experiment
• Operating Characteristics and Extensions of the False Discovery Rate Procedure
• Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates
• Large-Scale Simultaneous Hypothesis Testing

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