Gang Xue

The paper introduces TFA (Transcription Factor Activity) to infer TF-TF interactions with high fidelity, outperforming expression-based methods and revealing isoform-level heterogeneity in regulatory circuits.

This study develops a mathematical model to simulate the emergence of complexity in multicellular systems through cell division and lateral inhibition, using C. elegans as an example.

This study constructs a logic-incorporated gene regulatory network model to analyze how regulatory logic and noise influence cell fate decisions in differentiation and reprogramming.

This study identifies genes associated with different stages of Parkinson's disease pathogenesis using longitudinal blood transcriptome analysis and suggests candidate drugs for each phase.