Pengfei Ren

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

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.

SELINA improves cell type annotation in single-cell RNA-seq by addressing batch effects and rare cell type characterization using domain adaptation and synthetic oversampling.

TISCH provides an interactive web resource for visualizing single-cell transcriptomic data of the tumor microenvironment across multiple cancer types.