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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-06-01
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| Series: | Genes |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4425/9/7/314 |