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A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data
Identification of clinically relevant tumor subtypes and omics signatures is an important task in cancer translational research for precision medicine. Large-scale genomic profiling studies such as The Cancer Genome Atlas (TCGA) Research Network have generated vast amounts of genomic, transcriptomic...
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| Publicat a: | Biostatistics |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6455926/ https://ncbi.nlm.nih.gov/pubmed/28541380 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxx017 |
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