A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
Abstract 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 mech...
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| Autores principales: | , , |
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| Formato: | Libro |
| Publicado: |
BMC,
2019-12-01T00:00:00Z.
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| Acceso en línea: | Connect to this object online. |
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Internet
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| Número de Clasificación: |
A1234.567 |
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| Copia 1 | Disponible |