A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
Background: The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also important to better understand the biological mechanisms u...
| Main Authors: | , , |
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| Outros Autores: | |
| Formato: | Journal Article |
| Idioma: | English |
| Publicado em: |
2021
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| Assuntos: | |
| Acesso em linha: | https://hdl.handle.net/10356/146977 |