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  # CI-FM: Cellular Interaction Foundation Model
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  ## Overview
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-
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- This is the pytorch implementation of the CI-FM model -- an AI model that can simulate the cellular activities within a living tissue (AI virtual tissue). The signature functions of CI-FM are:
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  - **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
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  - **Inference** of cellular gene expressions at a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, rand_loc)``` (Figure below panel D bottom).
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  More information about the model can be found in the [preprint]().
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  ![](./figures/cifm.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # CI-FM: Cellular Interaction Foundation Model
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  ## Overview
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+ This is the PyTorch implementation of the CI-FM model -- an AI model that can simulate the cellular activities within a living tissue (AI virtual tissue). The signature functions of CI-FM are:
 
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  - **Embedding** of celllular microenvironments via ```embeddings = model.embed(adata)``` (Figure below panel D top);
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  - **Inference** of cellular gene expressions at a certain microenvironment via ```expressions = model.predict_cells_at_locations(adata, rand_loc)``` (Figure below panel D bottom).
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  More information about the model can be found in the [preprint]().
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  ![](./figures/cifm.png)
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+
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+ ## Environment
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+ The environment can be set up via:
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+ ```
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+ pip install torch==2.1.0 --index-url https://download.pytorch.org/whl/cu118
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+ pip install torch-scatter torch-sparse torch-cluster torch-geometric -f https://data.pyg.org/whl/torch-2.1.0+cu118.html
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+ pip install scanpy e3nn
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+ pip install lightning==2.1.0
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+ pip install numpy==1.26.4
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+ ```
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+
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+ ## Citation
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+ If you use this code for you research, please cite our paper.
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+ ```
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+ TBD
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+ ```