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  "Package": "standR",
  "Title": "Spatial transcriptome analyses of Nanostring's DSP data in R",
  "Version": "1.17.6",
  "Authors@R": "c(person(given = \"Ning\",\nfamily = \"Liu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ning.liu@adelaide.edu.au\",\ncomment = c(ORCID = \"0000-0002-9487-9305\")),\nperson(given = \"Dharmesh D\",\nfamily = \"Bhuva\",\nrole = c(\"aut\"),\nemail = \"bhuva.d@wehi.edu.au\",\ncomment = c(ORCID = \"0000-0002-6398-9157\")),\nperson(given = \"Ahmed\",\nfamily = \"Mohamed\",\nrole = c(\"aut\"),\nemail = \"mohamed.a@wehi.edu.au\"))",
  "Description": "standR is an user-friendly R package providing functions\nto assist conducting good-practice analysis of Nanostring's\nGeoMX DSP data. All functions in the package are built based on\nthe SpatialExperiment object, allowing integration into various\nspatial transcriptomics-related packages from Bioconductor.\nstandR allows data inspection, quality control, normalization,\nbatch correction and evaluation with informative\nvisualizations.",
  "biocViews": "Spatial, Transcriptomics, GeneExpression,\nDifferentialExpression, QualityControl, Normalization,\nExperimentHubSoftware",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/DavisLaboratory/standR",
  "BugReports": "https://github.com/DavisLaboratory/standR/issues",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-11-03 02:47:40 UTC",
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  "Author": "Ning Liu [aut, cre] (ORCID: <https://orcid.org/0000-0002-9487-9305>),\nDharmesh D Bhuva [aut] (ORCID: <https://orcid.org/0000-0002-6398-9157>),\nAhmed Mohamed [aut]",
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  "_created": "2026-11-03T09:58:30.000Z",
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