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An unofficial implementation of 'CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomics data'.

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CellDART-pytorch

An unofficial implementation of 'CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomics data' (link) based on pytorch-lightning.

Requirements

The major requirements of establishing the environment are listed as follow.

pytorch-lightning==1.5.10
scanpy==1.8.2
pandas=1.3.4=py38h8c16a72_0
numpy=1.21.2
scipy=1.7.1
pytorch=1.8.0

You may refer to the pytorch official website for installing proper distribution with CUDA on your machine.

We also combined scvi-tools analysis within the preprocessing step.

scvi-tools=0.15.0

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An unofficial implementation of 'CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomics data'.

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