ratschlab / DeepSpot
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
Why this job: works in the areas we cover, but does not say which job it does
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 106
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 2 months ago
- Built with
- Jupyter Notebook
- 55% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 55%
- Python 45%
- Shell <1%
Topics
- bioinformatics
- cancer-research
- computational-pathology
- deep-learning
- digital-pathology
- foundation-models
- gene-expression
- histopathology
- machine-learning
- pathology
- pytorch
- single-cell
Project record
- JobOther AI tools
- StatusListed
- Commits70
- Forks21
- Watching6
- Stars in 28 days+4
- CreatedSep 23, 2024
- First seen by usNov 7, 2026
- CheckedNov 9, 2026