A note on statistical method for genotype calling of high-throughput single-nucleotide polymorphism arrays

DOI10.1080/02664763.2013.785499OpenAlexW2406686421WikidataQ40510492 ScholiaQ40510492MaRDI QIDQ5129027

Jiaqi Yang, Wei Zhang, Baolin Wu

Publication date: 26 October 2020

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

Full work available at URL: http://europepmc.org/articles/pmc3647617

zbMATH Keywords

empirical Bayesmixture modelSNP arraysgenotype calling algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• oligo
• BRLMM

Cites Work

• Unnamed Item
• Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data
• Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
• Exploration, normalization, and summaries of high density oligonucleotide array probe level data
• On Information and Sufficiency

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