Xin Ying Zeng

This paper introduces scFoundation, a large-scale pretrained model for single-cell transcriptomics, achieving state-of-the-art results in multiple downstream tasks.

This study uses single-cell RNA sequencing and immune repertoire analysis to identify key immune cell subtypes and molecular changes in pemphigus vulgaris and assess the impact of prednisone treatment.

A 100-billion-parameter protein language model trained with masked and autoregressive objectives together, topping prior results on 15 of 18 benchmarks and powering a fast structure predictor.

xTrimoGene is a scalable transformer model for scRNA-seq data that reduces computational demands while maintaining accuracy, achieving state-of-the-art results in downstream tasks.