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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2013
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| Materias: | |
| 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 |