Interactive visual analytics framework for the exploration of differential cell-cell communication (CCC) and transcription factor (TF) activity inferred from single-cell RNA sequencing (scRNA-seq) data.
The dashboard integrates intercellular communication, intracellular signaling cascades, TF regulation, and functional enrichment analysis into a unified multi-layer network representation supporting the identification of candidate disease drivers, altered signaling loops, and dysregulated regulatory programs.
- Multi-layer signaling network visualization
- Coordinated interactive views
- Differential CCC exploration
- TF activity integration
- Signaling loop identification
- Functional enrichment analysis
The dashboard currently includes:
- Amyotrophic Lateral Sclerosis (ALS)
- familial ALS vs pathologically normal (C9ALS_vs_PN)
- sporadic ALS vs pathologically normal (SALS_vs_PN)
- sporadic ALS vs familial ALS (SALS_vs_C9ALS)
- Fibromuscular Dysplasia (FMD) Ko mouse model vs wildtype (Ko_vs_Wt)
- Frontend: Svelte + D3.js
- Backend: Python + FastAPI
- Database: PostgreSQL