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README.md
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- drug design
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- drug development
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- therapeutics
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library_name: tdc
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license: bsd-2-clause
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datasets:
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- scvi-tools/DATASET-FOR-UNIT-TESTING-1
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output = model(adata)
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```
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#
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* https://github.com/apliko-xyz/PyTDC/blob/main/tdc/model_server/models/scvi.py
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* weights extracted from https://cellxgene.cziscience.com/census-models
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#
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```
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@inproceedings{
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velez-arce2024signals,
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- drug design
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- drug development
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- therapeutics
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license: bsd-2-clause
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datasets:
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- scvi-tools/DATASET-FOR-UNIT-TESTING-1
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output = model(adata)
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```
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# TDC_ML.scVI Source Code
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* https://github.com/apliko-xyz/PyTDC/blob/main/tdc/model_server/models/scvi.py
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* weights extracted from https://cellxgene.cziscience.com/census-models
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# PyTDC Citation
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```
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@inproceedings{
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velez-arce2025pytdc,
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title={Py{TDC}: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models},
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author={Alejandro Velez-Arce and Marinka Zitnik},
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booktitle={Forty-second International Conference on Machine Learning},
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year={2025},
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url={https://openreview.net/forum?id=HV8vZDDoYc}
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}
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```
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```
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@inproceedings{
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velez-arce2024signals,
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