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Introduction
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Classroom Contents
Modeling Spatial Omics and Cellular Niches with Graph Neural Networks
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- 1 Introduction
- 2 Single cell analysis
- 3 Spatial proteomics
- 4 Measuring spatial omics
- 5 Imaging spatial omics
- 6 Modeling spatial omics
- 7 Space GM
- 8 Representation Learning
- 9 Message Passing Walkthrough
- 10 Capturing 2D Slices
- 11 Clustering
- 12 Case Study
- 13 Spatial Clusters
- 14 Coherence
- 15 Overall Framework
- 16 Training the Model
- 17 Generalizing the Model
- 18 Workflow Summary
- 19 Subcellular Morphologies
- 20 Generating Synthetic Data
- 21 Summary
