Mukund Sudarshan

FastKAST detects non-linear genetic effects on traits in large datasets by providing efficient kernel-based tests with calibrated hypothesis testing.

This study introduces an interpretable neural network model for RNA splicing prediction, achieving accuracy comparable to state-of-the-art models while providing insights into splicing logic.