Liran Mao

The paper benchmarks computational models predicting B. pertussis booster vaccine responses using multi-omics data from three cohorts, identifying key predictors of immunity and establishing a community resource for systems vaccinology.

COSIE is a computational framework that integrates multiple spatial omics modalities to generate high-resolution molecular landscapes, outperforming existing methods across diverse datasets.

HistoSweep improves tissue quality control in gigapixel images by removing artifacts and preserving biologically relevant structures, enhancing analysis accuracy in digital pathology and spatial omics.

The paper introduces spatial-Mux-seq, a multi-modal spatial technology that profiles five modalities in tissues, revealing new insights into cell types, gene regulation, and epigenetic gradients in mouse embryos and brains.