Using biological constraints to improve prediction in precision oncology

Many gene signatures have been developed by applying machine learning (ML) on omics profiles, however, their clinical utility is often hindered by limited interpretability and unstable performance. Here, we show the importance of embedding prior biological knowledge in the decision rules yielded by...

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Detalles Bibliográficos
Autores principales: Omar, Mohamed, Dinalankara, Wikum, Mulder, Lotte, Coady, Tendai, Zanettini, Claudio, Imada, Eddie Luidy, Younes, Laurent, Geman, Donald, Marchionni, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958363/
https://www.ncbi.nlm.nih.gov/pubmed/36852282
http://dx.doi.org/10.1016/j.isci.2023.106108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958363/
https://www.ncbi.nlm.nih.gov/pubmed/36852282
http://dx.doi.org/10.1016/j.isci.2023.106108

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