gibsramen/CLAIM-scAEs
A tutorial for using an autoencoder neural network model to create a visually interpretable latent space of single cell expression data.
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A tutorial for using an autoencoder neural network model to create a visually interpretable latent space of single cell expression data.
Jupyter Notebook
No issues in this repository yet.