Bo Yang

Computational reconstruction of hierarchical cis-regulatory networks reveals synergistic transcription control and disease-associated rewiring

ORIGAMI reconstructs cis-regulatory networks using multi-omics data and deep learning, revealing synergistic transcription control and disease-associated rewiring.

TopicVI: A Knowledge-guided deep interpretable model for resolving context-specific gene programs

TopicVI identifies context-specific gene programs in single-cell and spatial transcriptomics data by integrating biological knowledge with data-driven refinement.

Polyclonal-Monoclonal Transition in Lung Squamous Cell Carcinoma Evolution

This study identifies a polyclonal-to-monoclonal evolutionary trajectory in lung squamous cell carcinoma using genomic and transcriptomic data, with implications for precision therapeutics.

C Terminus of DJ-1 Determines Its Homodimerization, Deglycation Activity and Suppression of Ferroptosis

WSB1 Regulates c-Myc Expression Through β-catenin Signaling and Forms a Feedforward Circuit Promoting the Development of Cancer.

This study identifies a feedforward circuit between WSB1 and c-Myc that promotes cancer development through β-catenin signaling, suggesting a potential therapeutic target.