Batch effect reduction of microarray data with dependent samples using an empirical Bayes approach (BRIDGE)

DOI10.1515/SAGMB-2021-0020zbMath1496.92022OpenAlexW4200495952MaRDI QIDQ2170541

Jeffrey A. Thompson, Qing Xia, Devin C. Koestler

Publication date: 6 September 2022

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2021-0020

zbMATH Keywords

COMBATbatch effect correctionlongitudinal gene expressiontemporal microarray data

Mathematics Subject Classification ID

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

Related Items (2)

Use of SVM-based ensemble feature selection method for gene expression data analysis ⋮ \textit{pwrBRIDGE}: a user-friendly web application for power and sample size estimation in batch-confounded microarray studies with dependent samples

Cites Work

• Adjusting batch effects in microarray expression data using empirical Bayes methods

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