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  "Title": "Tumour Feature Models from Pathology Representations",
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  "Description": "Builds and applies portable cancer-specific partial least\nsquares (PLS) regression and partial least squares with linear\ndiscriminant analysis (PLS-LDA) model collections from\npathology foundation-model representations. Feature and outcome\ntables are linked by explicit patient identifiers, repeated\nslide rows are pooled at patient level, and model development\nuses nested cross-validation before final fitting. The source\npackage contains no fitted foundation-model parameters,\nembeddings, patient-level data, or atlas registry. Users may\ndownload a separately licensed, checksum-verified Prov-GigaPath\ncollection after installation, or load authorized collections\nfrom local files. Outputs are research estimates without\nexternal-validation or clinical-use claims. The methods build\non Wold et al. (2001) <doi:10.1016/S0169-7439(01)00155-1> and\nBarker and Rayens (2003) <doi:10.1002/cem.785>.",
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  "Maintainer": "Stefano Cacciatore <tkcaccia@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
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      "title": "List locally available foundation-model representations",
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      "title": "Construct a synthetic feature vector for examples and smoke tests",
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      "title": "Read registries from locally available model collections",
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        "titan_model_registry"
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      "topics": [
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      "page": "pathofmpred_control",
      "title": "Define model-development settings",
      "topics": [
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    },
    {
      "page": "plot_pathofm_binary",
      "title": "Plot PathoFMPred binary outputs",
      "topics": [
        "plot_pathofm_binary"
      ]
    },
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      "title": "Radar plot of PathoFMPred continuous outputs",
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