Jiahao Zhang

The paper introduces a zero-code graphical tool for polygenic trait prediction in breeding, showing linear models are robust for additive traits while machine learning and deep learning excel in complex traits.

GeneCompass is a cross-species foundation model pre-trained on single-cell transcriptomes from human and mouse, integrating biological knowledge to improve gene regulatory mechanism understanding and downstream tasks.

The paper develops an automated 3D segmentation method for dendritic spines and integrates it with SMLM to analyze synaptic protein organization at the nanoscale.

CellPolaris uses transfer learning to generate cell-type-specific gene regulatory networks from transcriptomic data, achieving state-of-the-art results in predicting regulatory factors and simulating cell fate transitions.