DeepSpotM
Multimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from histology.
Predict spatial gene expression from histology images using an automated platform that requires no special hardware.
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Free · no card · unsubscribe anytimeMultimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from histology.
DeepSpotM has 48 stars on GitHub. It has been forked 7 times. DeepSpotM is written mainly in Python. It has been in active development since 2026. Its main topics are bioinformatics, cancer, computational-pathology, deep-learning.
What is DeepSpotM?
Multimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from histology.
Is DeepSpotM open source?
DeepSpotM is an open-source project.
Is DeepSpotM free?
Yes. DeepSpotM is free and open source — you can use, modify and self-host it.
What language is DeepSpotM written in?
DeepSpotM is written mainly in Python.
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