Jun 2025 - Present
Pan-cancer Tumor Microenvironment Cell Communication Network Analysis
scRNA-seq / Spatial Transcriptomics / CellHub
This project focuses on recurrent communication structures across cancer types, aiming to identify conserved regulatory axes and cancer-specific signaling niches with mechanistic interpretability.
- Built standardized scRNA analysis pipelines covering 10+ cancer types to characterize tumor ecosystems.
- Used Liana to identify conserved and cancer-specific ligand-receptor circuits.
- Reimplemented CoVarnet in Python and detected five modules related to cancer development.
- Integrated spatial transcriptomics data to localize signaling niches and validate sender-receiver spatial co-localization patterns.
- Defined cell hub populations based on topological metrics and linked hub-related pathways to phenotypic programs.