Meng Yang

This paper presents the crystal structure of an engineered TdT variant and shows how mutations alter substrate specificity to accommodate bulky DNA terminators.

CellCUT improves spatial transcriptomics by accurately segmenting cells and assigning transcripts using nuclear images, outperforming existing methods in diverse tissues and challenging data conditions.

This paper introduces a scalable batch-correction method for integrating large-scale single-cell transcriptomes and shows it matches state-of-the-art performance on 18 million cells from the Human Cell Atlas.

The paper introduces tGPT, a generative model for integrating large-scale single-cell transcriptomes, showing its effectiveness in clustering, trajectory inference, and linking gene patterns to clinical outcomes.

The paper introduces iSEEEK, a method for integrating large-scale single-cell transcriptomes using gene rankings, showing good clustering and transferability across datasets.