Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy

Analyzing gene expression profiles (GEP) through artificial intelligence provides meaningful insight into cancer disease. This study introduces DeepSHAP Autoencoder Filter for Genes Selection (DSAF-GS), a novel deep learning and explainable artificial intelligence-based approach for feature selectio...

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Detalles Bibliográficos
Autores principales: Morabito, Fortunato, Adornetto, Carlo, Monti, Paola, Amaro, Adriana, Reggiani, Francesco, Colombo, Monica, Rodriguez-Aldana, Yissel, Tripepi, Giovanni, D’Arrigo, Graziella, Vener, Claudia, Torricelli, Federica, Rossi, Teresa, Neri, Antonino, Ferrarini, Manlio, Cutrona, Giovanna, Gentile, Massimo, Greco, Gianluigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501728/
https://www.ncbi.nlm.nih.gov/pubmed/37719021
http://dx.doi.org/10.3389/fonc.2023.1198992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501728/
https://www.ncbi.nlm.nih.gov/pubmed/37719021
http://dx.doi.org/10.3389/fonc.2023.1198992

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