Evaluation of Laplace distribution-based ANOVA models applied to microarray data

DOI10.1080/02664761003692407OpenAlexW2058275173WikidataQ59901556 ScholiaQ59901556MaRDI QIDQ5124814

Tomasz Burzykowski, Suzy Van Sanden

Publication date: 30 September 2020

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

Full work available at URL: http://hdl.handle.net/1942/11813

zbMATH Keywords

simulation studyLaplace distributiongene expressionmicroarraysANOVA models

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Robust mean change-point detecting through Laplace linear regression using EM algorithm

Uses Software

• Bioconductor
• gcrma
• limma

Cites Work

• Unnamed Item
• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
• Significance analysis of microarrays applied to the ionizing radiation response
• Transformations for cDNA Microarray Data
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Improved statistical tests for differential gene expression by shrinking variance components estimates
• Error Distribution for Gene Expression Data