Yumin Lian

Machine learning-guided spatial omics for tissue-scale discovery of cell-type-specific architectures

The paper presents a spatial omics framework combining protein and RNA imaging with machine learning to classify brain cell types and discover structural features at tissue scale.

Deep-tissue spatial omics: imaging whole-embryo transcriptomics and subcellular structures at high spatial resolution

This paper introduces cycleHCR technology for high-resolution spatial transcriptomics and protein imaging in thick tissues, demonstrating its application in mouse embryos and brain slices.

A Database of Restriction Maps to Expand the Utility of Bacterial Artificial Chromosomes

The paper develops a BAC restriction map database to improve accessibility and comparison of bacterial artificial chromosomes for genomic manipulation and assembly.