Data Quality in Histology-to-Expression Prediction
How much reported performance is an artefact of the evaluation setup.
A useful corrective: impressive correlation numbers in this field are sensitive to how the test set was built.
- Cost
- Free
- Hardware
- Runs on any laptop
- Scanner
- Not required
- Your data
- Stays on your machine
- Licence
- unknown
- Maturity
- production
What it is
Examines how data quality and evaluation choices shape reported accuracy for predicting spatial transcriptomics from histology, and finds that some apparent performance does not survive stricter setups.
Licence notes
Check the repository before any reuse.
Related
Catalogued 2026-08-02, last checked 2026-08-02. View the source record · Report an error