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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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Bibliografski detalji
Glavni autori: Darkins, Robert, Cooke, Emma J., Ghahramani, Zoubin, Kirk, Paul D. W., Wild, David L., Savage, Richard S.
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2013
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3614914/
https://ncbi.nlm.nih.gov/pubmed/23565168
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0059795
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