On the relation between the true and sample correlations under Bayesian modelling of gene expression datasets

DOI10.1515/sagmb-2017-0068zbMath1398.92119OpenAlexW2883389605WikidataQ90187549 ScholiaQ90187549MaRDI QIDQ1672828

Royi Jacobovic

Publication date: 11 September 2018

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-2017-0068

zbMATH Keywords

multivariate statisticsBayesian statisticsdelta-methodlarge-sample statisticsmicro-array data analysisprediction of cancer outcome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Bayesian inference (62F15) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Uses Software

• HdBCS
• tmg

Cites Work

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• 10.1162/153244303322753616
• On the Probability of Correct Selection for Large k Populations, with Application to Microarray Data
• High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics
• Selection of Largest Multiple Correlation Coefficients: Asymptotic Case