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Article

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

International journal of molecular sciences - 19 Apr 2021

Nosi Vladimir, Luca Alessandrì, Milan Melissa, Arigoni Maddalena, Benvenuti Silvia, Cacchiarelli Davide, Cesana Marcella, Riccardo Sara, Di Filippo Lucio, Cordero Francesca, Beccuti Marco, Comoglio Paolo M, Calogero Raffaele A

Abstract excerpt

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 shown to be targetable. METHODS: We constructed neural networks (NN/CNN) specifically designed to detect MET exon 14...

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Identifiers

PMID: 33921709
DOI: 10.3390/ijms22084217
PMCID: PMC8072630

Genes

MET

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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