Lingxin Cheng

SMART, a multi-agent framework, transfers findings from single-cell RNA-sequencing cancer studies to other cancer types, identifying cross-cancer prognostic signatures and generating new hypotheses.

The paper uses spatial multi-omics and single-cell transcriptomics to identify senescence-associated programs in colon adenoma to cancer progression, finding GDF15 mediates senescence-stemness coupling and immune exclusion.

AutoZyme optimizes bioinformatics software by autonomously identifying and applying code changes to improve runtime without significant memory use.

CASSIA automates and improves cell type annotation in single-cell RNA-sequencing data with interpretability and accuracy.

SpatialView is an interactive web tool for visualizing multiple spatial transcriptomics experiments, enhancing data exploration and analysis.