Processed datasets for DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks
Abstract
This record contains the processed spatial transcriptomics and scRNA-seq datasets used for benchmarking and validating the DANST deconvolution framework, as described in the associated paper.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Document type
- Dataset