Minxue Jia

HALO models temporal causal relations in single-cell multi-omics data by distinguishing coupled and decoupled latent representations, revealing lineage specification dynamics in AT2 cells.

The paper identifies transcription factor networks driving fibrotic lung disease using multiomic single-cell data from SSc-ILD and control lungs.

LaGrACE estimates gene program dysregulation using omics data and clinical information to identify molecular subtypes and drug-response signals in diseases.

The paper identifies LEF1 isoforms as key regulators of cellular senescence and aging through transcriptomic analysis and validation in human and mouse models.

The paper identifies a 50-gene high-risk profile predictive of mortality in COVID-19 and IPF, linked to monocyte and T-cell subset imbalances that reverse in post-COVID-19-ILD survivors.

The paper identifies early fibroblast transitions to a profibrotic state in IPF using scRNA-seq and validates MOXD1 as an early marker.