NMD_orf_model_v5_4ct: deep-learning model of nonsense-mediated decay from ORF sequence context
Résumé fourni par la source
Deep-learning model predicting nonsense-mediated decay (NMD) susceptibility from sequence around the start and stop codons together with per-ORF structural features, for Leshem et al., Long Read RNA Sequencing in Primary Lung Cell Types Reveals Principles of Nonsense-Mediated Decay. Covers training, evaluation, and attention- and SHAP-based interpretability. Code only. The trained checkpoint, its per-isoform predictions and the full interpretability export are in the Zenodo source-data record (DOI 10.5281/zenodo.21544336); the starting sequencing data are in NCBI GEO under GSE329233. The analysis code for the rest of the paper is nmd_lung_longread_reproduction.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Contrôle bibliographique ouvert
Institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.