Zongxu Zhang

SQUALL integrates histology and spatial transcriptomics to enable virtual spatial gene expression profiling and clinical prediction across cancers and platforms.

This paper introduces Archimap, a spatial transcriptomic platform that profiles immune repertoires and microbiota in FFPE tissues, revealing antitumor immunity and therapeutic antibodies.

The paper presents an integrative spatial multi-omics atlas of female genital tumors, identifying prognostic tumor niches and developing a model to predict their abundance from histopathology.

The paper benchmarks five high-throughput subcellular spatial transcriptomics platforms using multi-omics data from cancer samples, evaluating performance across multiple metrics.

This study constructs a logic-incorporated gene regulatory network model to analyze how regulatory logic and noise influence cell fate decisions in differentiation and reprogramming.