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Accelerating Bayesian Hierarchical Clustering of Time Series Data with a Randomised Algorithm

We live in an era of abundant data. This has necessitated the development of new and innovative statistical algorithms to get the most from experimental data. For example, faster algorithms make practical the analysis of larger genomic data sets, allowing us to extend the utility of cutting-edge sta...

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Detalles Bibliográficos
Autores principales:	Darkins, Robert, Cooke, Emma J., Ghahramani, Zoubin, Kirk, Paul D. W., Wild, David L., Savage, Richard S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3614914/ https://www.ncbi.nlm.nih.gov/pubmed/23565168 http://dx.doi.org/10.1371/journal.pone.0059795

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