{
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  "Type": "Package",
  "Title": "Marker Enrichment Modeling (MEM)",
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  "Authors@R": "c(person(\"Sierra\",\"Lima\", role = c(\"aut\"),\nemail = \"sierrambarone@gmail.com\",\ncomment = c(ORCID = \"0000-0001-5944-750X\")),\nperson(\"Kirsten\",\"Diggins\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-1622-0158\")),\nperson(\"Jonathan\",\"Irish\", role = c(\"aut\",\"cre\"),\nemail = \"jonathan.irish@vanderbilt.edu\",\ncomment = c(ORCID = \"0000-0001-9428-8866\")))",
  "Description": "MEM, Marker Enrichment Modeling, automatically generates\nand displays quantitative labels for cell populations that have\nbeen identified from single-cell data. The input for MEM is a\ndataset that has pre-clustered or pre-gated populations with\ncells in rows and features in columns. Labels convey a list of\nmeasured features and the features' levels of relative\nenrichment on each population. MEM can be applied to a wide\nvariety of data types and can compare between MEM labels from\nflow cytometry, mass cytometry, single cell RNA-seq, and\nspectral flow cytometry using RMSD.",
  "License": "GPL-3",
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  "Date/Publication": "2026-04-28 12:58:08 UTC",
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  "_realowner": "bioc",
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      "title": "MEM matrix",
      "object": "MEM_matrix",
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        "array"
      ],
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        "CD117",
        "CD11b",
        "CD4",
        "CD8",
        "CD20",
        "CD34",
        "CD61",
        "CD123",
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        "CD56"
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      "name": "MEM_values",
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      "object": "MEM_values",
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      "file": "PBMC.RData",
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      "tojson": true
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      "title": "Build heatmaps",
      "topics": [
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      "page": "MEM",
      "title": "Marker Enrichment Modeling",
      "topics": [
        "MEM"
      ]
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      "title": "MEM matrix",
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      "title": "Intro_to_Marker_Enrichment_Modeling_Analysis",
      "author": "Kirsten Diggins, Sierra Lima, Jonathan Irish",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Intro to Marker Enrichment Modeling",
        "Installing MEM",
        "Example Data: Normal Human Peripheral Blood Cells (PBMC)",
        "Input data: File format and structure",
        "Multiple Files",
        "Reading files in to R",
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      "modified": "2022-03-18 17:34:42",
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