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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6070922/ https://www.ncbi.nlm.nih.gov/pubmed/29933539 http://dx.doi.org/10.3390/genes9070314 |