Detection of differentially expressed genes in discrete single‐cell RNA sequencing data using a hurdle model with correlated random effects

DOI10.1111/BIOM.13074zbMath1448.62186OpenAlexW2941521486WikidataQ90140153 ScholiaQ90140153MaRDI QIDQ5121015

Jeremy T. Gaskins, Michael Sekula, Susmita Datta

Publication date: 16 September 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.13074

zbMATH Keywords

differential expressionvariational inferenceRNA sequencingsingle-cell

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

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