# ratschlab/DeepSpot

<https://repo.masters-masters.com/en/repos/ratschlab/DeepSpot>

[Home](https://repo.masters-masters.com/en) › [ratschlab](https://repo.masters-masters.com/en/owners/ratschlab) › [DeepSpot](https://repo.masters-masters.com/en/repos/ratschlab/DeepSpot)

ratschlab/DeepSpot has 105 stars on GitHub. Its RepoMasters card: Prototype tier. DeepSpot: Deep learning model for predicting spatial transcriptomics from…

| Field | Value |
| --- | --- |
| Owner | [ratschlab](https://repo.masters-masters.com/en/owners/ratschlab) |
| Stars | 105 |
| Forks | 21 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2024 |
| Topics | machine-learning, spatial-transcriptomics, pathology, bioinformatics, cancer-research, computational-pathology, deep-learning, digital-pathology, foundation-models, gene-expression |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ratschlab/DeepSpot](https://github.com/ratschlab/DeepSpot) |

## Repository

DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
