Linlin You

scTransMIL bridges patient-level disease states and single-cell transcriptomics for cancer screening and heterogeneity inference

Single-cell sequencing offers profound insights into tumor complexity. However, reliably linking individual cellular profiles to overall sample-level phenotypes remains computationally challenging, particularly when cell-specific annotations are absent. This disconnect limits the...

scProtoTransformer: Scalable reference mapping across molecules, cells, and donors

Abstract The rapid accumulation of single-cell data has made it possible to comprehensively characterize biological systems at molecular, cellular, and donor levels. However, scalable reference mapping across different resolutions remains a major challenge in current research. He...