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  "Title": "Spatially-aware quality control for spatial transcriptomics",
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  "Date": "2025-10-14",
  "Authors@R": "c(\nperson(\"Michael\", \"Totty\", ,\"mictott@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9292-8556\")),\nperson(\"Stephanie\", \"Hicks\", ,email = \"shicks19@jhu.edu\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-7858-0231\")),\nperson(\"Boyi\", \"Guo\", ,email = \"boyi.guo.work@gmail.com\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-2950-2349\")))",
  "Description": "Spatially-aware quality control (QC) software for both\nspot-level and artifact-level QC in spot-based spatial\ntranscripomics, such as 10x Visium. These methods calculate\nlocal (nearest-neighbors) mean and variance of standard QC\nmetrics (library size, unique genes, and mitochondrial\npercentage) to identify outliers spot and large technical\nartifacts.",
  "License": "MIT + file LICENSE",
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