Wei-Feng Guo

LANTSA improves analysis of scRNA-seq and spatial transcriptomics data by addressing cross-platform and large-volume challenges through a novel subspace model and dimensionality reduction technique.

This paper introduces CPGD, a novel algorithm for identifying personalized driver genes and combinational drugs for individual cancer patients, showing improved performance over existing methods.

This paper introduces a nonlinear network control model to identify personalized driver genes in cancer by analyzing patient-specific molecular networks from TCGA.