Zhen Wang

Longitudinal multi-omics reveals pathogenic TSC2 variants disrupt developmental trajectories of human cortical organoids derived from Tuberous Sclerosis Complex

This study uses longitudinal multi-omics analysis of cortical organoids to show that TSC2 pathogenic variants disrupt neurodevelopmental trajectories, leading to synaptic and mitochondrial dysfunction.

Genomics-FM: Universal Foundation Model for Versatile andData-Efficient Functional Genomic Analysis

Genomics-FM is a foundation model that reduces reliance on labeled data and outperforms existing models in genome annotation, epigenomic prediction, and variant effect assessment.

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

CellAgent uses an LLM-driven multi-agent framework to automate scRNA-seq and spatial transcriptomics analysis through natural language interactions, achieving 60% efficiency improvement over manual methods.