Huajun Chen

This paper introduces PROPEND, a protein design method using prompted language models to directly control multiple properties, achieving higher functional recovery than traditional pipelines.

This study evaluates GPT-4 and GPT-3.5 in molecular tasks, showing their strengths in molecular optimization but challenges in generating complex molecules.

Bulk2Space deconvolves bulk RNA-seq data to reveal spatial and cellular heterogeneity using single-cell and spatial transcriptomics references, identifying immune cell spatial variance and novel gene patterns in mouse brain regions.

SpaTalk infers cell-cell communication from spatial transcriptomic data using a knowledge graph and graph network, outperforming existing methods on public datasets and revealing insights into tissue communication mechanisms.

scDeepSort is a reference-free cell-type annotation tool for scRNA-seq data that outperforms reference-dependent methods in accuracy across human and mouse datasets.