Jianing Yao

ALBIS generates synthetic spatial transcriptomics data across multiple resolutions and dimensions to enable benchmarking of computational methods.

This paper develops a 3D spatial genomics framework to reconstruct the molecular and cellular organization of the human nucleus accumbens across anatomical axes.

The paper evaluates genetic-ancestry inference methods from single-cell transcriptomic data, showing ADMIXTURE provides accurate results despite challenges in variant calling.

The paper integrates single-nucleus and spatial transcriptomics data to map the molecular landscape of the human hippocampus, identifying cell types and spatial domains.

Proust detects spatial domains using contrastive self-supervised learning on multi-omics data, showing improved accuracy across benchmark datasets.