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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765869/ https://www.ncbi.nlm.nih.gov/pubmed/26072479 http://dx.doi.org/10.1093/bioinformatics/btv228 |