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  "Title": "Spatial Conditional Association Networks in Registered Tumor\nVolumes",
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  "Description": "Fits tumor-zone-specific conditional cell-density networks\nfrom registered three-dimensional multiplex imaging. An\nanisotropic Matern-3/2 Gaussian process is estimated per\nvariable and zone using a Vecchia likelihood on spatially\nbalanced anchors; predictions at all selected cells yield\nresidual covariance sufficient statistics. Gaussian maximum\nlikelihood then fits a shared-plus-zone factor covariance\nmodel. A matched section-wise planar fit uses the same selected\ncells and covariance estimator. This extends the spatially\ninformed cell-density analysis of Bhadury et al. (2026)\n<doi:10.1038/s41598-026-35341-8>.",
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        "1. Simulate a registered cell map and inspect the image",
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