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  "Title": "Unbiased Extraction of Single Cell gene signatures using\nMultiple Correspondence Analysis",
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  "Authors@R": "c(person(\"Akira\", \"Cortal\", email = \"akira.cortal@institutimagine.org\",\nrole = c(\"aut\", \"cre\")),  person(\"Antonio\", \"Rausell\", role= c(\"aut\", \"ctb\"), email = \"antonio.rausell@institutimagine.org\"))",
  "Description": "CelliD is a clustering-free multivariate statistical\nmethod for the robust extraction of per-cell gene signatures\nfrom single-cell RNA-seq. CelliD allows unbiased cell identity\nrecognition across different donors, tissues-of-origin, model\norganisms and single-cell omics protocols. The package can also\nbe used to explore functional pathways enrichment in single\ncell data.",
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  "Repository": "https://bioc-release.r-universe.dev",
  "Date/Publication": "2026-04-28 12:55:19 UTC",
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