sldyns/SpaHDmap
Deep fusion of spatial transcriptomics and histology images for interpretable high-definition embedding mapping
This tool helps life scientists and researchers analyze spatial transcriptomics data by combining it with histology images. It takes high-dimensional gene expression data and high-definition tissue images as input, producing refined functional annotations, enhanced spatial resolution for gene expression, and detailed spatial domain detections. Researchers in genomics, cell biology, and pathology would find this useful for understanding complex biological systems at a cellular level.
Available on PyPI.
Use this if you need to integrate spatial gene expression profiles with their corresponding tissue morphology to gain deeper, more localized insights into biological processes.
Not ideal if you only have gene expression data without spatial information or if you are not working with histology images.
Stars
17
Forks
8
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Commits (30d)
0
Dependencies
18
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