Detecting mutations in mixed sample sequencing data using empirical Bayes

DOI10.1214/12-AOAS538zbMath1254.62114arXiv1209.6453MaRDI QIDQ714364

Nancy R. Zhang, Hanlee Ji, Omkar Muralidharan, Georges Natsoulis, John Bell

Publication date: 21 October 2012

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

Full work available at URL: https://arxiv.org/abs/1209.6453

zbMATH Keywords

discrete dataDNA sequencingfalse discovery ratesgenome variation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10) Empirical decision procedures; empirical Bayes procedures (62C12) Paired and multiple comparisons; multiple testing (62J15)

Related Items (3)

On statistical modeling of sequencing noise in high depth data to assess tumor evolution ⋮ \(p\)-value calibration for multiple testing problems in genomics ⋮ Two modeling strategies for empirical Bayes estimation

Uses Software

• GATK

Cites Work

• Unnamed Item
• Universal residuals: a multivariate transformation
• On fuzzy familywise error rate and false discovery rate procedures for discrete distributions
• Alternatives to the Median Absolute Deviation
• Empirical Bayes Analysis of a Microarray Experiment
• Probabilistic Forecasts, Calibration and Sharpness
• Testing Statistical Hypotheses
• Large-Scale Simultaneous Hypothesis Testing
• Predictive Model Assessment for Count Data

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