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Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus
BACKGROUND: The Cancer Genome Atlas (TCGA) has collected transcriptome, genome and epigenome information for over 20 cancers from thousands of patients. The availability of these diverse data types makes it necessary to combine these data to capture the heterogeneity of biological processes and phen...
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| Pubblicato in: | BMC Med Genomics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5763310/ https://ncbi.nlm.nih.gov/pubmed/29322925 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-017-0306-x |
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