aapupu/MIST
An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis
MIST helps immunologists and cell biologists analyze the complex behavior of individual T cells. It takes single-cell RNA sequencing data and T-cell receptor sequencing data as input to provide a combined, interpretable view of T-cell gene expression and receptor diversity. This allows researchers to understand T-cell functions and states at a highly detailed level.
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Use this if you need to understand the relationship between gene expression and receptor composition in single T cells from your experimental data.
Not ideal if you are working with bulk sequencing data or analyzing cell types other than T cells.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Apr 05, 2025
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