Different cells can have very different three-dimensional morphologies. We present the computational framework u-signal3D that calculates the spatial scales at which molecules are organized on the surfaces of heterogeneously shaped cells, enabling high-throughput analyses and subsequent machine learning applications.
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References
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This is a summary of: Mazloom-Farsibaf, H. et al. Cellular harmonics for the morphology-invariant analysis of molecular organization at the cell surface. Nat. Comput. Sci. https://doi.org/10.1038/s43588-023-00512-4 (2023).
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Measuring three-dimensional organization on cell surfaces with cellular harmonics. Nat Comput Sci 3, 825–826 (2023). https://doi.org/10.1038/s43588-023-00517-z
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DOI: https://doi.org/10.1038/s43588-023-00517-z
