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29 changes: 29 additions & 0 deletions packages/AESTETIK/meta.yaml
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name: AESTETIK
description: |
Convolutional autoencoder that learns spot representations from spatial
transcriptomics by jointly integrating transcriptomics, morphology (H&E), and
spatial-neighborhood topology. The learned embeddings support downstream tasks
such as spatial-domain clustering and multi-modal analysis.
project_home: https://github.com/ratschlab/aestetik
documentation_home: https://github.com/ratschlab/aestetik#readme
tutorials_home: https://github.com/ratschlab/aestetik/tree/main/example
publications:
- 10.1093/bioinformatics/btag316
- 10.1101/2024.06.04.24308256
install:
pypi: aestetik
tags:
- spatial-omics
- spatial-transcriptomics
- representation-learning
- autoencoder
- multimodal
- computational-pathology
- deep learning
- pytorch
license: MIT
version: v0.3.1
contact:
- KalinNonchev
test_command: pip install '.[test-all]' && pytest -m "not slow"
category: ecosystem
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