{
  "_id": "6a1ee170b401979e734109fe",
  "Package": "mastR",
  "Title": "Markers Automated Screening Tool in R",
  "Version": "1.13.1",
  "Authors@R": "c(\nperson(\"Jinjin\", \"Chen\", email = \"chen.j@wehi.edu.au\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-7923-5723\")),\nperson(\"Ahmed\", \"Mohamed\", email = \"mohamed.a@wehi.edu.au\", role = c(\"aut\", \"ctb\"), comment = c(ORCID = \"0000-0001-6507-5300\")),\nperson(\"Chin Wee\", \"Tan\", email = \"cwtan@wehi.edu.au\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0001-9695-7218\"))\n)",
  "Description": "mastR is an R package designed for automated screening of\nsignatures of interest for specific research questions. The\npackage is developed for generating refined lists of signature\ngenes from multiple group comparisons based on the results from\nedgeR and limma differential expression (DE) analysis workflow.\nIt also takes into account the background noise of\ntissue-specificity, which is often ignored by other marker\ngeneration tools. This package is particularly useful for the\nidentification of group markers in various biological and\nmedical applications, including cancer research and\ndevelopmental biology.",
  "biocViews": "Software, GeneExpression, Transcriptomics,\nDifferentialExpression, Visualization",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/testthat/edition": "3",
  "Collate": "'plot.R' 'DE_functions.R' 'AllGenerics.R'\n'filter_subset_sig-methods.R' 'get_de_table-methods.R'\n'get_degs-methods.R' 'get_gsc_sig-methods.R' 'get_lm_sig.R'\n'get_panglao_sig.R' 'gls2gsc-methods.R' 'gsc_plot.R'\n'list_panglao_organs.R' 'list_panglao_types.R'\n'mastR-package.R' 'merge_markers.R' 'pca_matrix_plot-methods.R'\n'pseudo_samples-methods.R' 'remove_bg_exp-methods.R'\n'sig_boxplot-methods.R' 'sig_gseaplot-methods.R'\n'sig_heatmap-methods.R' 'sig_rankdensity_plot-methods.R'\n'sig_scatter_plot-methods.R' 'subset_sig_by_step.R'",
  "URL": "https://davislaboratory.github.io/mastR",
  "BugReports": "https://github.com/DavisLaboratory/mastR/issues",
  "VignetteBuilder": "knitr",
  "Language": "en-US",
  "Config/pak/sysreqs": "cmake make libicu-dev libpng-dev libxml2-dev\nlibssl-dev zlib1g-dev",
  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-05-20 01:58:30 UTC",
  "RemoteUrl": "https://github.com/bioc/mastR",
  "RemoteRef": "HEAD",
  "RemoteSha": "1e1d3c67119589e38a251e1316ba92d4acc6e4d8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-20 06:54:26 UTC",
    "User": "root"
  },
  "Author": "Jinjin Chen [aut, cre] (ORCID: <https://orcid.org/0000-0001-7923-5723>),\nAhmed Mohamed [aut, ctb] (ORCID:\n<https://orcid.org/0000-0001-6507-5300>),\nChin Wee Tan [ctb] (ORCID: <https://orcid.org/0000-0001-9695-7218>)",
  "Maintainer": "Jinjin Chen <chen.j@wehi.edu.au>",
  "MD5sum": "fc5411e691bda0145ff7980511ae60cc",
  "_user": "bioc",
  "_type": "src",
  "_file": "mastR_1.13.1.tar.gz",
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  "_created": "2026-05-20T06:54:26.000Z",
  "_published": "2026-06-02T13:58:08.133Z",
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    "source": "https://www.bioconductor.org/packages/stats/bioc/mastR"
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  "_devurl": "https://github.com/davislaboratory/mastr",
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.json",
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    "extra/contents.json",
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    "manual.pdf"
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  "_homeurl": "https://github.com/davislaboratory/mastr",
  "_realowner": "bioc",
  "_cranurl": false,
  "_exports": [
    "ccle_2_wide",
    "de_analysis",
    "filter_subset_sig",
    "get_de_table",
    "get_degs",
    "get_gsc_sig",
    "get_lm_sig",
    "get_panglao_sig",
    "gls2gsc",
    "gsc_plot",
    "list_panglao_organs",
    "list_panglao_types",
    "merge_markers",
    "pca_matrix_plot",
    "plot_diagnostics",
    "plot_mean_var",
    "process_data",
    "pseudo_sample_list",
    "pseudo_samples",
    "remove_bg_exp",
    "remove_bg_exp_mat",
    "select_sig",
    "sig_boxplot",
    "sig_gseaplot",
    "sig_heatmap",
    "sig_rankdensity_plot",
    "sig_scatter_plot"
  ],
  "_datasets": [
    {
      "name": "ccle_crc_5",
      "title": "RNA-seq TPM data of 5 CRC cell line samples from CCLE.",
      "object": "ccle_crc_5",
      "file": "ccle_crc_5.rda",
      "class": [
        "DGEList"
      ],
      "fields": [],
      "table": false,
      "tojson": true
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      "title": "RNA-seq TMM normalized counts data of 6 sorted immune subsets.",
      "object": "im_data_6",
      "file": "im_data_6.rda",
      "class": [
        "ExpressionSet"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
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      "title": "LM22 matrix for CIBERSORT.",
      "object": "lm22",
      "file": "lm22.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Gene",
        "B cells naive",
        "B cells memory",
        "Plasma cells",
        "T cells CD8",
        "T cells CD4 naive",
        "T cells CD4 memory resting",
        "T cells CD4 memory activated",
        "T cells follicular helper",
        "T cells regulatory (Tregs)",
        "T cells gamma delta",
        "NK cells resting",
        "NK cells activated",
        "Monocytes",
        "Macrophages M0",
        "Macrophages M1",
        "Macrophages M2",
        "Dendritic cells resting",
        "Dendritic cells activated",
        "Mast cells resting",
        "Mast cells activated",
        "Eosinophils",
        "Neutrophils"
      ],
      "rows": 547,
      "table": true,
      "tojson": true
    },
    {
      "name": "lm7",
      "title": "LM7 matrix for CIBERSORT.",
      "object": "lm7",
      "file": "lm7.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Gene",
        "Subset",
        "B cells",
        "T CD4",
        "T CD8",
        "T gamma delta",
        "NK",
        "MoMaDC",
        "granulocytes"
      ],
      "rows": 375,
      "table": true,
      "tojson": true
    },
    {
      "name": "msigdb_gobp_nk",
      "title": "Sub-collection of MSigDB gene sets.",
      "object": "msigdb_gobp_nk",
      "file": "msigdb_gobp_nk.rda",
      "class": [
        "GeneSetCollection"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
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      "name": "nk_markers",
      "title": "NK cell markers combination.",
      "object": "nk_markers",
      "file": "nk_markers.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
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        "LM22",
        "LM7",
        "Huntington"
      ],
      "rows": 114,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ccle_2_wide",
      "title": "Convert CCLE data from long data to wide data.",
      "topics": [
        "ccle_2_wide"
      ]
    },
    {
      "page": "ccle_crc_5",
      "title": "RNA-seq TPM data of 5 CRC cell line samples from CCLE.",
      "topics": [
        "ccle_crc_5"
      ]
    },
    {
      "page": "de_analysis",
      "title": "DE analysis pipeline",
      "topics": [
        "de_analysis"
      ]
    },
    {
      "page": "DEGs_Group",
      "title": "return DEGs UP and DOWN list based on intersection or union of comparisons",
      "topics": [
        "DEGs_Group"
      ]
    },
    {
      "page": "DEGs_RP",
      "title": "return DEGs UP and DOWN list based on Rank Product",
      "topics": [
        "DEGs_RP"
      ]
    },
    {
      "page": "filter_subset_sig",
      "title": "Filter specific cell type signature genes against other subsets.",
      "topics": [
        "filter_subset_sig",
        "filter_subset_sig,ANY-method",
        "filter_subset_sig,DGEList-method",
        "filter_subset_sig,list-method"
      ]
    },
    {
      "page": "get_de_table",
      "title": "Get DE analysis result table(s) with statistics",
      "topics": [
        "get_de_table",
        "get_de_table,DGEList,character,character-method",
        "get_de_table,ExpressionSet,character,character-method",
        "get_de_table,Matrix,vector,character-method",
        "get_de_table,matrix,vector,character-method",
        "get_de_table,Seurat,character,character-method",
        "get_de_table,SummarizedExperiment,character,character-method"
      ]
    },
    {
      "page": "get_degs",
      "title": "Get differentially expressed genes by comparing specified groups",
      "topics": [
        "get_degs",
        "get_degs,DGEList,character,character-method",
        "get_degs,ExpressionSet,character,character-method",
        "get_degs,Matrix,vector,character-method",
        "get_degs,matrix,vector,character-method",
        "get_degs,Seurat,character,character-method",
        "get_degs,SummarizedExperiment,character,character-method"
      ]
    },
    {
      "page": "get_gsc_sig",
      "title": "Collect genes from MSigDB or provided GeneSetCollection.",
      "topics": [
        "get_gsc_sig",
        "get_gsc_sig,character,character-method",
        "get_gsc_sig,GeneSetCollection,character-method"
      ]
    },
    {
      "page": "get_lm_sig",
      "title": "Extract specific subset markers from LM7 or/and LM22",
      "topics": [
        "get_lm_sig"
      ]
    },
    {
      "page": "get_panglao_sig",
      "title": "Extract immune subset markers from PanglaoDB website.",
      "topics": [
        "get_panglao_sig"
      ]
    },
    {
      "page": "gls2gsc",
      "title": "Convert gene-set list into GeneSetCollection",
      "topics": [
        "gls2gsc",
        "gls2gsc,list-method",
        "gls2gsc,vector-method"
      ]
    },
    {
      "page": "gsc_plot",
      "title": "Make upset plot for given gene sets",
      "topics": [
        "gsc_plot"
      ]
    },
    {
      "page": "im_data_6",
      "title": "RNA-seq TMM normalized counts data of 6 sorted immune subsets.",
      "topics": [
        "im_data_6"
      ]
    },
    {
      "page": "list_panglao_organs",
      "title": "Show the summary info of available organs in PanglaoDB.",
      "topics": [
        "list_panglao_organs"
      ]
    },
    {
      "page": "list_panglao_types",
      "title": "Show the summary info of available cell types in PanglaoDB.",
      "topics": [
        "list_panglao_types"
      ]
    },
    {
      "page": "lm22",
      "title": "LM22 matrix for CIBERSORT.",
      "topics": [
        "lm22"
      ]
    },
    {
      "page": "lm7",
      "title": "LM7 matrix for CIBERSORT.",
      "topics": [
        "lm7"
      ]
    },
    {
      "page": "merge_markers",
      "title": "Merge markers list into one.",
      "topics": [
        "merge_markers"
      ]
    },
    {
      "page": "msigdb_gobp_nk",
      "title": "Sub-collection of MSigDB gene sets.",
      "topics": [
        "msigdb_gobp_nk"
      ]
    },
    {
      "page": "nk_markers",
      "title": "NK cell markers combination.",
      "topics": [
        "nk_markers"
      ]
    },
    {
      "page": "pca_matrix_plot",
      "title": "Make a matrix plot of PCA with top PCs",
      "topics": [
        "pca_matrix_plot",
        "pca_matrix_plot,data.frame-method",
        "pca_matrix_plot,DGEList-method",
        "pca_matrix_plot,ExpressionSet-method",
        "pca_matrix_plot,Matrix-method",
        "pca_matrix_plot,matrix-method",
        "pca_matrix_plot,Seurat-method",
        "pca_matrix_plot,SummarizedExperiment-method"
      ]
    },
    {
      "page": "pca_matrix_plot_init",
      "title": "Make a matrix plot of PCA with top PCs",
      "topics": [
        "pca_matrix_plot_init"
      ]
    },
    {
      "page": "plot_diagnostics",
      "title": "plot diagnostics before and after 'process_data()'",
      "topics": [
        "plot_diagnostics"
      ]
    },
    {
      "page": "plot_mean_var",
      "title": "plot Mean-variance trend after voom and after final linear fit",
      "topics": [
        "plot_mean_var"
      ]
    },
    {
      "page": "plotPCAbiplot",
      "title": "Single PCA plot function",
      "topics": [
        "plotPCAbiplot"
      ]
    },
    {
      "page": "process_data",
      "title": "process data",
      "topics": [
        "process_data",
        "process_data,DGEList,character,character-method",
        "process_data,ExpressionSet,character,character-method",
        "process_data,Matrix,vector,character-method",
        "process_data,matrix,vector,character-method",
        "process_data,Seurat,character,character-method",
        "process_data,SummarizedExperiment,character,character-method"
      ]
    },
    {
      "page": "pseudo_sample_list",
      "title": "Split cells according to specific factors",
      "topics": [
        "pseudo_sample_list"
      ]
    },
    {
      "page": "pseudo_samples",
      "title": "Aggregate single cells to pseudo-samples according to specific factors",
      "topics": [
        "pseudo_samples",
        "pseudo_samples,matrix,data.frame-method",
        "pseudo_samples,matrix,vector-method",
        "pseudo_samples,Seurat,character-method",
        "pseudo_samples,SummarizedExperiment,character-method"
      ]
    },
    {
      "page": "remove_bg_exp",
      "title": "Remove markers with high signal in background data.",
      "topics": [
        "remove_bg_exp",
        "remove_bg_exp,ANY,ANY,vector-method",
        "remove_bg_exp,ANY,character,vector-method",
        "remove_bg_exp,ANY,DGEList,vector-method",
        "remove_bg_exp,ANY,ExpressionSet,vector-method",
        "remove_bg_exp,ANY,missing,vector-method",
        "remove_bg_exp,ANY,Seurat,vector-method",
        "remove_bg_exp,ANY,SummarizedExperiment,vector-method",
        "remove_bg_exp,DGEList,matrix,vector-method",
        "remove_bg_exp,matrix,matrix,vector-method"
      ]
    },
    {
      "page": "remove_bg_exp_mat",
      "title": "Remove genes show high signal in the background expression data from markers.",
      "topics": [
        "remove_bg_exp_mat"
      ]
    },
    {
      "page": "select_sig",
      "title": "select DEGs from multiple comparisons",
      "topics": [
        "select_sig"
      ]
    },
    {
      "page": "sig_boxplot",
      "title": "Boxplot of median expression or scores of signature",
      "topics": [
        "sig_boxplot",
        "sig_boxplot,data.frame,vector,vector,character-method",
        "sig_boxplot,DGEList,vector,character,character-method",
        "sig_boxplot,ExpressionSet,vector,character,character-method",
        "sig_boxplot,list,vector,character,character-method",
        "sig_boxplot,Matrix,vector,vector,character-method",
        "sig_boxplot,matrix,vector,vector,character-method",
        "sig_boxplot,Seurat,vector,character,character-method",
        "sig_boxplot,SummarizedExperiment,vector,character,character-method"
      ]
    },
    {
      "page": "sig_gseaplot",
      "title": "Visualize GSEA result with input list of gene symbols.",
      "topics": [
        "sig_gseaplot",
        "sig_gseaplot,ANY,ANY-method",
        "sig_gseaplot,DGEList,ANY-method",
        "sig_gseaplot,list,ANY-method",
        "sig_gseaplot,MArrayLM,list-method",
        "sig_gseaplot,MArrayLM,vector-method"
      ]
    },
    {
      "page": "sig_heatmap",
      "title": "Heatmap original markers and screened signature",
      "topics": [
        "sig_heatmap",
        "sig_heatmap,data.frame,ANY,vector,ANY-method",
        "sig_heatmap,DGEList,ANY,character,ANY-method",
        "sig_heatmap,ExpressionSet,ANY,character,ANY-method",
        "sig_heatmap,list,ANY,character,ANY-method",
        "sig_heatmap,Matrix,ANY,vector,ANY-method",
        "sig_heatmap,matrix,character,vector,missing-method",
        "sig_heatmap,matrix,character,vector,vector-method",
        "sig_heatmap,matrix,list,vector,missing-method",
        "sig_heatmap,Seurat,ANY,character,ANY-method",
        "sig_heatmap,SummarizedExperiment,ANY,character,ANY-method"
      ]
    },
    {
      "page": "sig_rankdensity_plot",
      "title": "Plot rank density",
      "topics": [
        "sig_rankdensity_plot",
        "sig_rankdensity_plot,data.frame,vector,vector-method",
        "sig_rankdensity_plot,DGEList,vector,character-method",
        "sig_rankdensity_plot,ExpressionSet,vector,character-method",
        "sig_rankdensity_plot,list,vector,character-method",
        "sig_rankdensity_plot,Matrix,vector,vector-method",
        "sig_rankdensity_plot,matrix,vector,vector-method",
        "sig_rankdensity_plot,Seurat,vector,character-method",
        "sig_rankdensity_plot,SummarizedExperiment,vector,character-method"
      ]
    },
    {
      "page": "sig_scatter_plot",
      "title": "Scatter plot of signature for specific subset vs others",
      "topics": [
        "sig_scatter_plot",
        "sig_scatter_plot,DGEList,vector,character,character-method",
        "sig_scatter_plot,ExpressionSet,vector,character,character-method",
        "sig_scatter_plot,list,vector,character,character-method",
        "sig_scatter_plot,Matrix,vector,vector,character-method",
        "sig_scatter_plot,matrix,vector,vector,character-method",
        "sig_scatter_plot,Seurat,vector,character,character-method",
        "sig_scatter_plot,SummarizedExperiment,vector,character,character-method"
      ]
    },
    {
      "page": "voom_fit_treat",
      "title": "return DGEList containing vfit by limma::voom (if normalize = TRUE) and tfit by limma::treat",
      "topics": [
        "voom_fit_treat"
      ]
    }
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      "filename": "mastR_customized_design.html",
      "title": "mastR: Simplified Customized Design For Differential Expression Analysis",
      "author": "Jinjin Chen, Ahmed Mohamed, Chin Wee Tan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Example",
        "1. Customized contrast matrix",
        "2. Process data",
        "3. Results",
        "Visualization",
        "Session Info"
      ],
      "created": "2026-01-05 01:16:39",
      "modified": "2026-05-20 01:27:23",
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    {
      "source": "mastR_Demo.Rmd",
      "filename": "mastR_Demo.html",
      "title": "mastR: Markers Automated Screening Tool in R",
      "author": "Jinjin Chen, Ahmed Mohamed, Chin Wee Tan",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Installation",
        "Step 1. Build Markers Pool",
        "Generate Markers from Sources",
        "i) Leukocyte gene signature Matrix (LM)",
        "ii) MSigDB",
        "iii) PanglaoDB",
        "iv) Customized gene list",
        "Pool Markers from Sources",
        "Step 2. Signature Identification for Target Group",
        "a) data processing",
        "b) signature selection based on differential expression",
        "c) constrain signature within markers pool",
        "Step 3. Signature Refinement by Background Expression in Tissue",
        "I) data subsetting",
        "II) data filtration",
        "III) markers pool refinement",
        "use CCLE as background data (optional)",
        "IV) combination with Signature",
        "Step 4. Visualization of Final Results",
        "Heatmap",
        "Signature Score Boxplot",
        "Signature Abundance Scatter Plot",
        "Signature GSEA plot",
        "Working with Extension Data Input",
        "Multiple Datasets",
        "Single Cell RNA-sequencing Data",
        "Applications",
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        "Deconvolution",
        "Annotation",
        "Session Info"
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      "created": "2023-02-17 07:57:01",
      "modified": "2025-07-01 02:48:34",
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