Jade Xiaoqing Wang

SVC predicts subcellular transcript localization and co-organization using a Vision Transformer model, revealing disease patterns and spatial biology not accessible at the cell level.

The paper develops a high-dimensional mediation analysis method for brain connectivity networks and applies it to pediatric ALL data, finding significant mediation effects of brain connectivity on visual processing speed.

Across 13 single-cell foundation models and 94 datasets, PCA and established methods usually match or beat them; pretrained embeddings help mainly with scarce labels, rare cells and open-set detection.

ELLA models subcellular spatial variation of gene expression in high-resolution spatial transcriptomics, identifying genes with distinct localization patterns and associating them with mRNA characteristics.