Xuefeng Yan

scYeast is a foundation model for yeast single-cell transcriptomics that integrates biological priors, excelling in zero-shot tasks and transfer learning to other omics data.

MetaStrain combines enzyme-constrained models with meta-heuristic algorithms to efficiently identify combinatorial gene targets for improving microbial product yields.

This paper introduces a distributed large-scale neural network model for yeast transcriptional regulation, capable of predicting dynamic regulatory relationships and identifying key transcription factors.