DeepSpot2Cell
importedsoftware/deepspot2cell
DeepSpot2Cell: Predicting virtual single-cell spatial transcriptomics from H&E images using spot-level supervision
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- ratschlab
- Country
- unknown
- Repository
- github.com/ratschlab/DeepSpot2Cell
- Documentation
- unknown
- Tags
- bioinformatics · cell-segmentation · computational-pathology · deconvolution · deep-learning · digital-pathology · foundation-models · gene-expression
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- DeepSpotbioinformatics · computational-pathology · digital-pathology · foundation-models · gene-expression
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
- qupathcell-segmentation · computational-pathology · digital-pathology
QuPath - Open-source bioimage analysis for research
- raw2featurescomputational-pathology · digital-pathology · foundation-models
OME-Zarr whole-slide images to patch- and slide-level foundation-model embeddings - cloud-native, FAIR, model- and backend-agnostic.
- aestetikbioinformatics · computational-pathology · digital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- cellseg_models.pytorchcell-segmentation · digital-pathology
Encoder-Decoder Cell and Nuclei segmentation models
- salmonbioinformatics · gene-expression
🐟 🍣 🍱 Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment
- api.github.com/repos/ratschlab/DeepSpot2Cellretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-20, 16 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/3.json→ .entries["deepspot2cell"]
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