EANMD

EANMD is a machine learning tool that uses XGBoost to predict alternative splicing events that trigger nonsense-mediated mRNA decay (NMD). It integrates sequence features and evolutionary conservation to classify NMD-targeted isoforms.

Key features:

• XGBoost-based classification model
• Prediction of AS-NMD events from transcript features
• Integration of evolutionary and sequence-based features
• Applied in neurodevelopmental disorder research