Enhong Chen

STPAINTER enhances spatial transcriptomics data using a pre-trained scRNA-seq atlas, enabling high-fidelity downstream analysis across cancer types.

This paper introduces a computational framework for true 3D spatial reconstruction of tissues, demonstrating improved fidelity over 2D methods across multiple spatial omics modalities.

BioMiner automates extraction of protein-ligand bioactivity data from literature, achieving an F1 score of 0.32 and improving downstream model performance by 3.9%.

This paper introduces TamGen, a chemical language model for target-aware molecule generation, and shows it produces high-quality compounds with inhibitory activity against Tuberculosis ClpP protease.

This paper introduces a dual-language foundation model that integrates protein and coding sequences, showing improved performance in discriminative tasks and generating coding sequences with higher protein yield.

This paper introduces MolCode, a generative framework for molecule design that integrates 2D graph and 3D geometry information, achieving high validity and affinity in generated molecules.