Oncoordinate captures microenvironmental state dynamics and identifies aggressive niches in tumors
Abstract
Oncoordinate is an interpretable deep learning framework for single-cell and spatial transcriptomic analysis of malignancy that learns malignant and malignancy-associated cell states across epithelial, stromal, and immune lineages while remaining tightly integrated with the scverse ecosystem.
Fields of Study & Subjects
Single-cell and spatial transcriptomics
Gene expression and cancer classification
Gene Regulatory Network Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 February 2026
- Document type
- Dataset