Estimating the number of genes that are differentially expressed in both of two independent experiments

DOI10.1007/S13253-012-0108-8zbMath1302.62273OpenAlexW2058826429MaRDI QIDQ484707

Megan Orr, Peng Liu, Dan Nettleton

Publication date: 7 January 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-012-0108-8

zbMATH Keywords

multiple testingfalse discovery ratemicroarray data analysis\(\lambda\)-estimator

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• A stochastic process approach to false discovery control.
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach
• A Direct Approach to False Discovery Rates
• Statistical significance for genomewide studies
• Estimating the Proportion of True Null Hypotheses, with application to DNA Microarray Data

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