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  "Title": "From geospatial to spatial omics",
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  "Authors@R": "c(person(\"Lambda\", \"Moses\", email = \"lambda.calc29@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7092-9427\")),\nperson(\"Alik\", \"Huseynov\",\ncomment = c(ORCID = \"0000-0002-1438-4389\"),\nrole = \"aut\"),\nperson(\"Kayla\", \"Jackson\", email = \"kaylajac@caltech.edu\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-6483-0108\")),\nperson(\"Laura\", \"Luebbert\", email = \"lauraluebbert@caltech.edu\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-1379-2927\")),\nperson(\"Lior\", \"Pachter\", email = \"lpachter@caltech.edu\",\nrole = c(\"aut\", \"rev\"),\ncomment = c(ORCID = \"0000-0002-9164-6231\")))",
  "Description": "SpatialFeatureExperiment (SFE) is a new S4 class for\nworking with spatial single-cell genomics data. The voyager\npackage implements basic exploratory spatial data analysis\n(ESDA) methods for SFE. Univariate methods include univariate\nglobal spatial ESDA methods such as Moran's I, permutation\ntesting for Moran's I, and correlograms. Bivariate methods\ninclude Lee's L and cross variogram. Multivariate methods\ninclude MULTISPATI PCA and multivariate local Geary's C\nrecently developed by Anselin. The Voyager package also\nimplements plotting functions to plot SFE data and ESDA\nresults.",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-09-26 20:28:18 UTC",
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  "Author": "Lambda Moses [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-7092-9427>),\nAlik Huseynov [aut] (ORCID: <https://orcid.org/0000-0002-1438-4389>),\nKayla Jackson [aut] (ORCID: <https://orcid.org/0000-0001-6483-0108>),\nLaura Luebbert [aut] (ORCID: <https://orcid.org/0000-0003-1379-2927>),\nLior Pachter [aut, rev] (ORCID:\n<https://orcid.org/0000-0002-9164-6231>)",
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        "calculateBivariate,ANY-method",
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        "runBivariate"
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        "calculateMultivariate,ANY,character-method",
        "calculateMultivariate,ANY,SFEMethod-method",
        "calculateMultivariate,SpatialFeatureExperiment,ANY-method",
        "runMultivariate"
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      "concept": [
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        "annotGeometryUnivariate",
        "calculateMoransI",
        "calculateMoransI,ANY-method",
        "calculateMoransI,SpatialFeatureExperiment-method",
        "calculateUnivariate",
        "calculateUnivariate,ANY,character-method",
        "calculateUnivariate,ANY,SFEMethod-method",
        "calculateUnivariate,SpatialFeatureExperiment,ANY-method",
        "colDataMoransI",
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      "title": "Find clusters on the Moran plot",
      "concept": [
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      "concept": [
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      "title": "Colorblind friendly palette from dittoSeq",
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      "title": "Get beginning and end of palette to center a divergent palette",
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      "title": "List all spatial methods in Voyager package",
      "concept": [
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      "title": "Use ggplot to plot the moran.plot results",
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      "title": "A faster implementation of MULTISPATI PCA",
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      "title": "Plot expression of two genes or features with bivariate palette",
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