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A Nonparametric Bayesian Model for Local Clustering with Application to Proteomics
We propose a nonparametric Bayesian local clustering (NoB-LoC) approach for heterogeneous data. NoB-LoC implements inference for nested clusters as posterior inference under a Bayesian model. Using protein expression data as an example, the NoB-LoC model defines a protein (column) cluster as a set o...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3821783/ https://ncbi.nlm.nih.gov/pubmed/24222928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2013.784705 |
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