A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment.

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作者： Yuanyuan,Bian ^[1] ; Chong,He ^[2] ; Jing,Qiu ^[3]

作者单位： Eli Lily and Company, Indianapolis, IN, USA. ^[1] Department of Statistics, University of Missouri-Columbia, Columbia, MO, USA. ^[2] Department of Applied Economics and Statistics, University of Delaware, Newark, DE, USA. ^[3]

关键词 Bayesian model equivalent expression group specific FDR multiple gene expression patterns nonlocal prior

主题词基因表达谱(Gene Expression Profiling);贝叶斯定理(Bayes Theorem);计算机模拟(Computer Simulation)

DOI 10.1515/sagmb-2022-0025

PMID 37082815

发布时间 2023-04-28

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Statistical applications in genetics and molecular biology

2023年22卷1期

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A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment.

Statistical applications in genetics and molecular biology

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Statistical applications in genetics and molecular biology

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A Bayesian model to identify multiple expression patterns with simultaneous FDR control for a multi-factor RNA-seq experiment.

Statistical applications in genetics and molecular biology

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Statistical applications in genetics and molecular biology

相关期刊

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