PrognosiT: Pathway/gene set-based tumour volume prediction using multiple kernel learning
Abstract Background Identification of molecular mechanisms that determine tumour progression in cancer patients is a prerequisite for developing new disease treatment guidelines. Even though the predictive performance of current machine learning models is promising, extracting significant and meanin...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
BMC
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3bdf0d9723b14774a875cc2b5b3bfcca |
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