Enhong Chen

Enhancing Pan-cancer Spatial Transcriptomics atSingle-cell Resolution with stPainter

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

Reconstructing True 3D Spatial Omics at Single-Cell Resolution

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: A Multi-modal System for Automated Mining of Protein-Ligand Bioactivity Data from Literature

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%.

Integration of protein and coding sequences enables mutual augmentation of the language model

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.

An Equivariant Generative Framework for Molecular Graph-Structure Co-Design

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.