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Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods
Breast cancer is the most common malignancy in women, and because it has a high mortality rate, it is urgent to develop computational methods to increase the accuracy of breast cancer survival predictive models. Although multi-omics data such as gene expression have been extensively used in recent s...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7848170/ https://www.ncbi.nlm.nih.gov/pubmed/33537063 http://dx.doi.org/10.3389/fgene.2020.632901 |