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A Similarity Regression Fusion Model for Integrating Multi-Omics Data to Identify Cancer Subtypes
The identification of cancer subtypes is crucial to cancer diagnosis and treatments. A number of methods have been proposed to identify cancer subtypes by integrating multi-omics data in recent years. However, the existing methods rarely consider the biases of similarity between samples and weights...
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| Publicado no: | Genes (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6070922/ https://ncbi.nlm.nih.gov/pubmed/29933539 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes9070314 |
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