MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

Background: Disruption of alternative splicing (AS) is frequently observed in cancer and might represent an important signature for tumor progression and therapy. Exon skipping (ES) represents one of the most frequent AS events, and in non-small cell lung cancer (NSCLC) MET exon 14 skipping was show...

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Bibliographic Details
Main 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
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:International Journal of Molecular Sciences
Subjects:
neural network
MET
exon skipping
genetic variants
deep learning
Online Access:https://www.mdpi.com/1422-0067/22/8/4217

Internet

https://www.mdpi.com/1422-0067/22/8/4217

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