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A hierarchical Bayesian model for flexible module discovery in three-way time-series data
Motivation: Detecting modules of co-ordinated activity is fundamental in the analysis of large biological studies. For two-dimensional data (e.g. genes × patients), this is often done via clustering or biclustering. More recently, studies monitoring patients over time have added another dimension. A...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4765869/ https://ncbi.nlm.nih.gov/pubmed/26072479 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv228 |
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