Bayesian negative binomial mixture regression models for the analysis of sequence count and methylation data

DOI10.1111/biom.12962zbMath1436.62591OpenAlexW2888167412WikidataQ91041943 ScholiaQ91041943MaRDI QIDQ5214461

Qiwei Li, Alberto Cassese, Michele Guindani, Marina Vannucci

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12962

zbMATH Keywords

count dataMarkov random fieldmixture modelsfeature selectionnegative binomialintegrative analysis

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) Paired and multiple comparisons; multiple testing (62J15)

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