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Edinburgh Research Explorer SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics dataCitation for published version: Maniatis, C, Vallejos, CA & Sanguinetti,
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Define the structure of the hierarchical model including the parent-child relationships.
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What is scrapl a bayesian hierarchical?
Scrapl a bayesian hierarchical is a data analysis technique that uses Bayesian hierarchical modeling.
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Research organizations or individuals conducting studies using Bayesian hierarchical modeling are required to file scrapl a bayesian hierarchical.
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The purpose of scrapl a bayesian hierarchical is to ensure transparency and accuracy in reporting of data analysis results.
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Scrapl a bayesian hierarchical requires reporting of study design, data sources, model specifications, priors used, and results obtained.
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