Jerome J. Choi

This study performs a single-nucleus transcriptome-wide association study to identify gene-trait associations in brain disorders, revealing cell-type-specific genetic regulation and ancestry-specific patterns.

The paper constructs a single-nucleus atlas of genetic regulation in the human brain, identifying cell-type-specific regulatory effects and disease-associated genes.

CellTRIP uses multi-agent reinforcement learning to infer dynamic virtual cell environments from single-cell gene expression data, enabling simulation and prediction of cell interactions and changes over time and space.

COSIME integrates multi-omics data to predict Alzheimer's disease phenotypes, improving accuracy and interpretability by analyzing feature interactions across data views.

The paper constructs a gene regulatory network resource across species and brain regions to study neurogenesis dynamics and their links to neurodevelopmental disorders.

The paper identifies cooperative transcription factors in oligodendrocytes using single-cell multi-omics data and validates their regulatory roles through experimental analysis.