PICASA, Partitioning Inter-patient Cellular Attributes by Shared Attention, project python package
Project description
This is a project repository for -
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- Subedi, Sishir, and Yongjin P. Park. "Decomposing patient heterogeneity of single-cell cancer data by cross-attention neural networks." medRxiv 2025.06.04.25328900
Tutorial
For the step-by-step tutorial, please refer to notebooks :
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Tutorial 1. Training PICASA model using simulated datasets.
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Tutorial 2. Plotting all three latent representations learned by the model.
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Tutorial 3. Analysis of the cross attention matrix estimated by the model.
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Tutorial 4. Cancer common representation analysis.
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Tutorial 5. Cancer unique representation analysis.
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Tutorial 6. Cancer patient outcome analysis.
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