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

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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Bibliographic Details
Main Authors: Fortunato Morabito, Carlo Adornetto, Paola Monti, Adriana Amaro, Francesco Reggiani, Monica Colombo, Yissel Rodriguez-Aldana, Giovanni Tripepi, Graziella D’Arrigo, Claudia Vener, Federica Torricelli, Teresa Rossi, Antonino Neri, Manlio Ferrarini, Giovanna Cutrona, Massimo Gentile, Gianluigi Greco
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Oncology
Subjects:
chronic lymphocytic leukemia
gene expression profile
deep learning
explainable artificial intelligence
feature selection
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1198992/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1198992/full

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