Website for CancerSTFormer
This is the website for CancerSTFormer. CancerSTFormer consists of a pair of spatially aware transcriptomic foundation models to accommodate niche modeling at different length scales. These models, at the 50um-Local and 250um-Extended scales, possess unique capabilities to recover ligand-target gene relationships, niche-specific differentially expressed genes, and organ-specific metastasis associated genes in diverse cancer applications. CancerSTFormer can also reveal the responses of immune-checkpoint blockade therapies, and other targeted therapies, on patients’ tumors given their ST profiles through gene perturbation analysis.Here you find the codes for generating figures and results in the paper.
| Description | Script | Individual inputs |
|---|---|---|
| Spatial perturbation response visualization (replot.py) - ganitumab sensitivity, 250um-Extended Model | replot.py.html |
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| Spatial perturbation response visualization (replot.py) - ganitumab sensitivity, 50um-Local Model | replot.local.pyhtml |
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