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Bayesian variable selection with graphical structure learning: Applications in integrative genomics
Significant advances in biotechnology have allowed for simultaneous measurement of molecular data across multiple genomic, epigenomic and transcriptomic levels from a single tumor/patient sample. This has motivated systematic data-driven approaches to integrate multi-dimensional structured datasets,...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6066211/ https://ncbi.nlm.nih.gov/pubmed/30059495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0195070 |
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