MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning |
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| Authors: | Vladimir Nosi,Alessandrì Luca,Melissa Milan,Maddalena Arigoni,Silvia Benvenuti,Davide Cacchiarelli,Marcella Cesana,Sara Riccardo,Lucio Di Filippo,Francesca Cordero,Marco Beccuti,Paolo M. Comoglio,Raffaele A. Calogero |
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| Affiliation: | 1.Department of Molecular Biotechnology and Health Sciences, University of Torino, 10126 Torino, Italy; (V.N.); (A.L.); (M.A.);2.Candiolo Cancer Institute-FPO, IRCCS, 10060 Candiolo, Italy; (M.M.); (S.B.);3.Telethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy; (D.C.); (M.C.); (S.R.); (L.D.F.);4.Department of Computer Sciences, University of Torino, 10149 Torino, Italy; (F.C.); (M.B.);5.IFOM-FIRC Institute of Molecular Oncology, 20139 Milano, Italy; |
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| Abstract: | |
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| Keywords: | neural network MET exon skipping genetic variants deep learning |
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