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Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification
BACKGROUND: One major goal of large-scale cancer omics study is to identify molecular subtypes for more accurate cancer diagnoses and treatments. To deal with high-dimensional cancer multi-omics data, a promising strategy is to find an effective low-dimensional subspace of the original data and then...
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| Publicado no: | BMC Genomics |
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| Principais autores: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4667498/ https://ncbi.nlm.nih.gov/pubmed/26626453 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-015-2223-8 |
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