Cong Wang

DOMINO identifies spatial domains in spatial transcriptomic data with improved accuracy and scalability, outperforming existing methods on large datasets.

MetalPrognosis predicts disease-associated mutations in metal-binding sites using a biological language model and convolutional neural network, outperforming existing methods.

The paper introduces Allocator, a deep learning framework for predicting mRNA subcellular localization by integrating sequence and structure information, showing improved performance over existing methods.

MERITS provides a comprehensive database of PE/PPE proteins from Mycobacterium, offering structural and functional information to aid in vaccine and diagnostic development.