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graphs

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Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithms.

  • Updated Oct 18, 2023
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a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).

  • Updated Dec 8, 2025
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