FRANCO, NICOLA RARES

FRANCO, NICOLA RARES  

DIPARTIMENTO DI MATEMATICA  

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Titolo Data di pubblicazione Autori File
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 1-gen-2020 Michela Carlotta MassiFrancesca IevaAnna Maria PaganoniPaolo ZuninoAndrea ManzoniNicola Rares Franco +
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 1-gen-2020 M. C. MassiF. IevaA. PaganoniA. ManzoniP. ZuninoN. R. Franco +
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 1-gen-2021 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaManzoni, AndreaPaganoni, Anna MariaZunino, Paolo +
Interpretability and interaction learning for logistic regression models 1-gen-2021 N. R. FrancoM. C. MassiF. IevaA. M. Paganoni
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 1-gen-2021 Massi, M.Franco, N.Ieva, F.Manzoni, A.Paganoni, A.Zunino, P. +
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 1-gen-2020 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaPaganoni, Anna MariaManzoni, AndreaZunino, Paolo +
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks 1-gen-2021 N. FrancoA. ManzoniP. Zunino