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aestetik

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software/aestetik

AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
active
Maturity
deployed
Organization
ratschlab
Country
unknown
Homepage
academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btag316/8692433
Repository
github.com/ratschlab/aestetik
Documentation
unknown
Tags
autoencoder · bioinformatics · computational-pathology · deep-learning · digital-pathology · histopathology · machine-learning · multimodal
Regulatory
unknown
built by · 4

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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  • gigapixel-goblincomputational-pathology · digital-pathology · histopathology

    GIANT-style WSI navigation env plus MultiPathQA eval runner. Plug in any VLM, zoom with bboxes, log trajectories, and score accuracy.

  • pathmlcomputational-pathology · digital-pathology · histopathology

    Tools for computational pathology

sources
  1. api.github.com/repos/ratschlab/aestetik
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-03, 25 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 →

machine-readable

/v1/entries/13.json→ .entries["aestetik"]

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