BioinformaticsbioRxivPreprint
Interpretable Prediction of Phase Separation and Disease Variant Effects in Intrinsically Disordered Regions
The paper presents an interpretable machine-learning framework to predict liquid-liquid phase separation in intrinsically disordered regions and assesses its relevance to disease variants.
DOI 10.64898/2026.07.14.736885