Yucheng Xu

BioMaster: Multi-agent System for Automated Bioinformatics Analysis Workflow

BioMaster automates complex bioinformatics workflows using a multi-agent system, improving accuracy, efficiency, and scalability across tasks like RNA-seq and Hi-C processing.

NyxBind: enhancing DNN representations via contrastive learning for TFBS prediction

NyxBind improves TFBS prediction by using contrastive learning to enhance DNN representations, outperforming existing models across benchmarks.

LEGEND: Identifying Co-expressed Genes in Multimodal Transcriptomic Sequencing Data

LEGEND integrates scRNA-seq and spatial transcriptomic data to identify co-expressed gene groups, revealing spatial coherence and context-specific gene functions.

Learning context-aware, distributed gene representations in spatial transcriptomics with SpaCEX

SpaCEX generates context-aware gene embeddings from spatial transcriptomics data, enabling improved downstream analyses like disease gene identification and spatial pattern detection.