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Network-based integrative clustering of multiple types of genomic data using non-negative matrix factorization
Identification of novel molecular subtypes of disease using multi-source ‘omics data is an active area of on-going research. Integrative clustering is a powerful approach to identify latent subtype structure inherent in the data sets accounting for both between and within data correlations. We propo...
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| Publicat a: | Comput Biol Med |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7078030/ https://ncbi.nlm.nih.gov/pubmed/31999549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.compbiomed.2020.103625 |
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