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Super.FELT: supervised feature extraction learning using triplet loss for drug response prediction with multi-omics data
BACKGROUND: Predicting the drug response of a patient is important for precision oncology. In recent studies, multi-omics data have been used to improve the prediction accuracy of drug response. Although multi-omics data are good resources for drug response prediction, the large dimension of data te...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8152321/ https://www.ncbi.nlm.nih.gov/pubmed/34034645 http://dx.doi.org/10.1186/s12859-021-04146-z |