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  "Title": "Identify oncogenes and tumor suppressor genes from omics data",
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  "Date": "",
  "Authors@R": "c(person(\"Mona\", \"Nourbakhsh\",\nrole=\"aut\"),\nperson(\"Astrid\", \"Saksager\",\nrole=\"aut\"),\nperson(\"Nikola\", \"Tom\",\nrole=\"aut\"),\nperson(\"Katrine\", \"Meldgård\",\nrole=\"aut\"),\nperson(\"Anna\", \"Melidi\",\nrole=\"aut\"),\nperson(\"Xi Steven\", \"Chen\",\nrole=\"aut\"),\nperson(\"Antonio\", \"Colaprico\",\nrole=\"aut\"),\nperson(\"Catharina\", \"Olsen\",\nrole=\"aut\"),\nperson(\"Alessia\", \"Campo\",\nrole=c(\"aut\")),\nperson(\"Matteo\", \"Tiberti\",\nrole=c(\"cre\", \"aut\"),\nemail=\"tiberti@cancer.dk\"),\nperson(\"Elena\", \"Papaleo\",\nrole=\"aut\",\n))",
  "Description": "The understanding of cancer mechanism requires the\nidentification of genes playing a role in the development of\nthe pathology and the characterization of their role (notably\noncogenes and tumor suppressors). We present an updated version\nof the R/bioconductor package called MoonlightR, namely\nMoonlight2R, which returns a list of candidate driver genes for\nspecific cancer types on the basis of omics data integration.\nThe Moonlight framework contains a primary layer where gene\nexpression data and information about biological processes are\nintegrated to predict genes called oncogenic mediators, divided\ninto putative tumor suppressors and putative oncogenes. This is\ndone through functional enrichment analyses, gene regulatory\nnetworks and upstream regulator analyses to score the\nimportance of well-known biological processes with respect to\nthe studied cancer type. By evaluating the effect of the\noncogenic mediators on biological processes or through random\nforests, the primary layer predicts two putative roles for the\noncogenic mediators: i) tumor suppressor genes (TSGs) and ii)\noncogenes (OCGs). As gene expression data alone is not enough\nto explain the deregulation of the genes, a second layer of\nevidence is needed. We have automated the integration of a\nsecondary mutational layer through new functionalities in\nMoonlight2R. These functionalities analyze mutations in the\ncancer cohort and classifies these into driver and passenger\nmutations using the driver mutation prediction tool,\nCScape-somatic. Those oncogenic mediators with at least one\ndriver mutation are retained as the driver genes. As a\nconsequence, this methodology does not only identify genes\nplaying a dual role (e.g. TSG in one cancer type and OCG in\nanother) but also helps in elucidating the biological processes\nunderlying their specific roles. In particular, Moonlight2R can\nbe used to discover OCGs and TSGs in the same cancer type. This\nmay for instance help in answering the question whether some\ngenes change role between early stages (I, II) and late stages\n(III, IV). In the future, this analysis could be useful to\ndetermine the causes of different resistances to\nchemotherapeutic treatments. An additional mechanistic layer\nevaluates if there are mutations affecting the protein\nstability of the transcription factors (TFs) of the TSGs and\nOCGs, as that may have an effect on the expression of the\ngenes.",
  "License": "GPL-3",
  "biocViews": "DNAMethylation, DifferentialMethylation, GeneRegulation,\nGeneExpression, MethylationArray, DifferentialExpression,\nPathways, Network, Survival, GeneSetEnrichment,\nNetworkEnrichment",
  "SystemRequirements": "CScapeSomatic",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/ELELAB/Moonlight2R",
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  "Repository": "https://bioc.r-universe.dev",
  "Date/Publication": "2026-04-28 13:01:32 UTC",
  "RemoteUrl": "https://github.com/bioc/Moonlight2R",
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  "Packaged": {
    "Date": "2026-05-30 09:20:46 UTC",
    "User": "root"
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  "Author": "Mona Nourbakhsh [aut],\nAstrid Saksager [aut],\nNikola Tom [aut],\nKatrine Meldgård [aut],\nAnna Melidi [aut],\nXi Steven Chen [aut],\nAntonio Colaprico [aut],\nCatharina Olsen [aut],\nAlessia Campo [aut],\nMatteo Tiberti [cre, aut],\nElena Papaleo [aut]",
  "Maintainer": "Matteo Tiberti <tiberti@cancer.dk>",
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        "Amino_acids",
        "Codons",
        "Existing_variation",
        "DISTANCE",
        "TRANSCRIPT_STRAND",
        "SYMBOL",
        "SYMBOL_SOURCE",
        "HGNC_ID",
        "BIOTYPE",
        "CANONICAL",
        "CCDS",
        "ENSP",
        "SWISSPROT",
        "TREMBL",
        "UNIPARC",
        "UNIPROT_ISOFORM",
        "RefSeq",
        "MANE",
        "APPRIS",
        "FLAGS",
        "SIFT",
        "PolyPhen",
        "EXON",
        "INTRON",
        "DOMAINS",
        "1000G_AF",
        "1000G_AFR_AF",
        "1000G_AMR_AF",
        "1000G_EAS_AF",
        "1000G_EUR_AF",
        "1000G_SAS_AF",
        "ESP_AA_AF",
        "ESP_EA_AF",
        "gnomAD_AF",
        "gnomAD_AFR_AF",
        "gnomAD_AMR_AF",
        "gnomAD_ASJ_AF",
        "gnomAD_EAS_AF",
        "gnomAD_FIN_AF",
        "gnomAD_NFE_AF",
        "gnomAD_OTH_AF",
        "gnomAD_SAS_AF",
        "MAX_AF",
        "MAX_AF_POPS",
        "gnomAD_non_cancer_AF",
        "gnomAD_non_cancer_AFR_AF",
        "gnomAD_non_cancer_AMI_AF",
        "gnomAD_non_cancer_AMR_AF",
        "gnomAD_non_cancer_ASJ_AF",
        "gnomAD_non_cancer_EAS_AF",
        "gnomAD_non_cancer_FIN_AF",
        "gnomAD_non_cancer_MID_AF",
        "gnomAD_non_cancer_NFE_AF",
        "gnomAD_non_cancer_OTH_AF",
        "gnomAD_non_cancer_SAS_AF",
        "gnomAD_non_cancer_MAX_AF_adj",
        "gnomAD_non_cancer_MAX_AF_POPS_adj",
        "CLIN_SIG",
        "SOMATIC",
        "PUBMED",
        "TRANSCRIPTION_FACTORS",
        "MOTIF_NAME",
        "MOTIF_POS",
        "HIGH_INF_POS",
        "MOTIF_SCORE_CHANGE",
        "miRNA",
        "IMPACT",
        "PICK",
        "VARIANT_CLASS",
        "TSL",
        "HGVS_OFFSET",
        "PHENO",
        "GENE_PHENO",
        "CONTEXT",
        "tumor_bam_uuid",
        "normal_bam_uuid",
        "case_id",
        "GDC_FILTER",
        "COSMIC",
        "hotspot",
        "RNA_Support",
        "RNA_depth",
        "RNA_ref_count",
        "RNA_alt_count",
        "callers"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataMAVISp",
      "title": "MAVISp dataset example",
      "object": "dataMAVISp",
      "file": "dataMAVISp.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "dataMethyl",
      "title": "Methylation data matrix from TCGA-LUAD project",
      "object": "dataMethyl",
      "file": "dataMethyl.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "TCGA-83-5908-01",
        "TCGA-44-2668-11",
        "TCGA-44-2655-11",
        "TCGA-55-6975-01",
        "TCGA-50-6594-01",
        "TCGA-55-A48Y-01",
        "TCGA-44-2665-01",
        "TCGA-44-2668-01",
        "TCGA-55-6969-01",
        "TCGA-NJ-A55O-01",
        "TCGA-44-5645-01",
        "TCGA-44-2665-11",
        "TCGA-55-6981-01",
        "TCGA-44-7661-01",
        "TCGA-55-6982-01",
        "TCGA-44-5645-11",
        "TCGA-44-2665-01",
        "TCGA-50-6594-11",
        "TCGA-55-6983-01",
        "TCGA-50-5932-01",
        "TCGA-69-7978-01",
        "TCGA-44-2668-01",
        "TCGA-44-5645-01",
        "TCGA-44-6776-01",
        "TCGA-44-5645-01",
        "TCGA-50-5932-11",
        "TCGA-62-8397-01"
      ],
      "rows": 73,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataPRA",
      "title": "Output example from function Pattern Recognition Analysis",
      "object": "dataPRA",
      "file": "dataPRA.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "dataURA",
      "title": "Upstream regulator analysis",
      "object": "dataURA",
      "file": "dataURA.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "apoptosis",
        "proliferation of cells"
      ],
      "rows": 23,
      "table": true,
      "tojson": true
    },
    {
      "name": "dataURA_plot",
      "title": "Upstream regulator analysis",
      "object": "dataURA_plot",
      "file": "dataURA_plot.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "apoptosis",
        "proliferation of cells"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "DEG_Methylation_Annotations",
      "title": "Output example from GMA function",
      "object": "DEG_Methylation_Annotations",
      "file": "DEG_Methylation_Annotations.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Hugo_Symbol",
        "chromosome",
        "start",
        "end",
        "Probe",
        "State",
        "Prevalence of hypo (%)",
        "Prevalence of hyper (%)",
        "Comparators",
        "Raw.p",
        "Adjusted.p",
        "Probe_enhancer",
        "Probe_in_enhancer",
        "State_enhancer",
        "Prevalence of hypo (%)_enhancer",
        "Prevalence of hyper (%)_enhancer",
        "Comparators_enhancer",
        "Raw.p_enhancer",
        "Adjusted.p_enhancer",
        "logFC",
        "logCPM",
        "LR",
        "PValue",
        "FDR",
        "Moonlight_gene_z_score",
        "Moonlight_Oncogenic_Mediator",
        "promoter_start",
        "promoter_end",
        "Probe_in_promoter",
        "NCG_driver",
        "NCG_cgc_annotation",
        "NCG_vogelstein_annotation",
        "NCG_saito_annotation",
        "NCG_pubmed_id",
        "NCG_cancer_type"
      ],
      "rows": 3435,
      "table": true,
      "tojson": true
    },
    {
      "name": "DEG_Mutations_Annotations",
      "title": "Differentially expressed genes's Mutations",
      "object": "DEG_Mutations_Annotations",
      "file": "DEG_Mutations_Annotations.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ID",
        "Chromosome",
        "Start_Position",
        "End_Position",
        "Strand",
        "Hugo_Symbol",
        "logFC",
        "logCPM",
        "LR",
        "PValue",
        "FDR",
        "Moonlight_gene_z_score",
        "Moonlight_Oncogenic_Mediator",
        "CScape_Coding_score",
        "CScape_Noncoding_score",
        "CScape_Mut_Class",
        "CScape_Remark",
        "Potential_Effect_on_Transcription",
        "Potential_Effect_on_Translation",
        "Potential_Effect_on_Protein",
        "Annotation",
        "Annotation_Start",
        "Annotation_End",
        "NCG_driver",
        "NCG_cgc_annotation",
        "NCG_vogelstein_annotation",
        "NCG_saito_annotation",
        "NCG_pubmed_id",
        "NCG_cancer_type",
        "X1",
        "Entrez_Gene_Id",
        "Center",
        "NCBI_Build",
        "Variant_Classification",
        "Variant_Type",
        "Reference_Allele",
        "Tumor_Seq_Allele1",
        "Tumor_Seq_Allele2",
        "dbSNP_RS",
        "dbSNP_Val_Status",
        "Tumor_Sample_Barcode",
        "Matched_Norm_Sample_Barcode",
        "Match_Norm_Seq_Allele1",
        "Match_Norm_Seq_Allele2",
        "Tumor_Validation_Allele1",
        "Tumor_Validation_Allele2",
        "Match_Norm_Validation_Allele1",
        "Match_Norm_Validation_Allele2",
        "Verification_Status",
        "Validation_Status",
        "Mutation_Status",
        "Sequencing_Phase",
        "Sequence_Source",
        "Validation_Method",
        "Score",
        "BAM_File",
        "Sequencer",
        "Tumor_Sample_UUID",
        "Matched_Norm_Sample_UUID",
        "HGVSc",
        "HGVSp",
        "HGVSp_Short",
        "Transcript_ID",
        "Exon_Number",
        "t_depth",
        "t_ref_count",
        "t_alt_count",
        "n_depth",
        "n_ref_count",
        "n_alt_count",
        "all_effects",
        "Allele",
        "Gene",
        "Feature",
        "Feature_type",
        "One_Consequence",
        "Consequence",
        "cDNA_position",
        "CDS_position",
        "Protein_position",
        "Amino_acids",
        "Codons",
        "Existing_variation",
        "DISTANCE",
        "TRANSCRIPT_STRAND",
        "SYMBOL",
        "SYMBOL_SOURCE",
        "HGNC_ID",
        "BIOTYPE",
        "CANONICAL",
        "CCDS",
        "ENSP",
        "SWISSPROT",
        "TREMBL",
        "UNIPARC",
        "UNIPROT_ISOFORM",
        "RefSeq",
        "MANE",
        "APPRIS",
        "FLAGS",
        "SIFT",
        "PolyPhen",
        "EXON",
        "INTRON",
        "DOMAINS",
        "X1000G_AF",
        "X1000G_AFR_AF",
        "X1000G_AMR_AF",
        "X1000G_EAS_AF",
        "X1000G_EUR_AF",
        "X1000G_SAS_AF",
        "ESP_AA_AF",
        "ESP_EA_AF",
        "gnomAD_AF",
        "gnomAD_AFR_AF",
        "gnomAD_AMR_AF",
        "gnomAD_ASJ_AF",
        "gnomAD_EAS_AF",
        "gnomAD_FIN_AF",
        "gnomAD_NFE_AF",
        "gnomAD_OTH_AF",
        "gnomAD_SAS_AF",
        "MAX_AF",
        "MAX_AF_POPS",
        "gnomAD_non_cancer_AF",
        "gnomAD_non_cancer_AFR_AF",
        "gnomAD_non_cancer_AMI_AF",
        "gnomAD_non_cancer_AMR_AF",
        "gnomAD_non_cancer_ASJ_AF",
        "gnomAD_non_cancer_EAS_AF",
        "gnomAD_non_cancer_FIN_AF",
        "gnomAD_non_cancer_MID_AF",
        "gnomAD_non_cancer_NFE_AF",
        "gnomAD_non_cancer_OTH_AF",
        "gnomAD_non_cancer_SAS_AF",
        "gnomAD_non_cancer_MAX_AF_adj",
        "gnomAD_non_cancer_MAX_AF_POPS_adj",
        "CLIN_SIG",
        "SOMATIC",
        "PUBMED",
        "TRANSCRIPTION_FACTORS",
        "MOTIF_NAME",
        "MOTIF_POS",
        "HIGH_INF_POS",
        "MOTIF_SCORE_CHANGE",
        "miRNA",
        "IMPACT",
        "PICK",
        "VARIANT_CLASS",
        "TSL",
        "HGVS_OFFSET",
        "PHENO",
        "GENE_PHENO",
        "CONTEXT",
        "tumor_bam_uuid",
        "normal_bam_uuid",
        "case_id",
        "GDC_FILTER",
        "COSMIC",
        "hotspot",
        "RNA_Support",
        "RNA_depth",
        "RNA_ref_count",
        "RNA_alt_count",
        "callers",
        "Mutant",
        "Reference",
        "1000G_AF",
        "1000G_AFR_AF",
        "1000G_AMR_AF",
        "1000G_EAS_AF",
        "1000G_EUR_AF",
        "1000G_SAS_AF"
      ],
      "rows": 3561,
      "table": true,
      "tojson": true
    },
    {
      "name": "DEGsmatrix",
      "title": "Differentially expressed genes",
      "object": "DEGsmatrix",
      "file": "DEGsmatrix.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "logFC",
        "logCPM",
        "LR",
        "PValue",
        "FDR"
      ],
      "rows": 3390,
      "table": true,
      "tojson": true
    },
    {
      "name": "DiseaseList",
      "title": "Cancer-related biological processes",
      "object": "DiseaseList",
      "file": "DiseaseList.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "EAGenes",
      "title": "Information about genes",
      "object": "EAGenes",
      "file": "EAGenes.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "Gene",
        "Description",
        "Location",
        "Family"
      ],
      "rows": 20038,
      "table": true,
      "tojson": true
    },
    {
      "name": "EncodePromoters",
      "title": "Promoters",
      "object": "EncodePromoters",
      "file": "EncodePromoters.rda",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "X1",
        "X2",
        "X3",
        "X4",
        "X5",
        "X6"
      ],
      "rows": 84738,
      "table": true,
      "tojson": true
    },
    {
      "name": "EpiMix_Results_Regular",
      "title": "Output example from GMA function",
      "object": "EpiMix_Results_Regular",
      "file": "EpiMix_Results_Regular.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "GEO_TCGAtab",
      "title": "Information on GEO and TCGA data",
      "object": "GEO_TCGAtab",
      "file": "GEO_TCGAtab.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Cancer",
        "TP",
        "NT",
        "DEG.",
        "Dataset",
        "TP.1",
        "NT.1",
        "Platform",
        "DEG..",
        "Common",
        "GEO_Normal",
        "GEO_Tumor"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "knownDriverGenes",
      "title": "Information of known cancer driver genes from COSMIC",
      "object": "knownDriverGenes",
      "file": "knownDriverGenes.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "listMoonlight",
      "title": "List of oncogenic mediators of 5 TCGA cancer types",
      "object": "listMoonlight",
      "file": "listMoonlight.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "LOC_protein",
      "title": "Level of Consequence: Protein",
      "object": "LOC_protein",
      "file": "LOC_protein.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Variant_Classification",
        "SNP",
        "INS",
        "DEL",
        "DNP",
        "TNP",
        "ONP"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "LOC_transcription",
      "title": "Level of Consequence: Transcription",
      "object": "LOC_transcription",
      "file": "LOC_transcription.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Variant_Classification",
        "SNP",
        "INS",
        "DEL",
        "DNP",
        "TNP",
        "ONP"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "LOC_translation",
      "title": "Level of Consequence: Translation",
      "object": "LOC_translation",
      "file": "LOC_translation.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Variant_Classification",
        "SNP",
        "INS",
        "DEL",
        "DNP",
        "TNP",
        "ONP"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    },
    {
      "name": "LUAD_sample_anno",
      "title": "Sample annotations of TCGA-LUAD project",
      "object": "LUAD_sample_anno",
      "file": "LUAD_sample_anno.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "primary",
        "sample.type"
      ],
      "rows": 23,
      "table": true,
      "tojson": true
    },
    {
      "name": "MetEvidenceDriver",
      "title": "Methylation evidence table to define driver genes",
      "object": "MetEvidenceDriver",
      "file": "MetEvidenceDriver.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Dual",
        "Hypo",
        "Hyper",
        "No",
        "Moonlight_Oncogenic_Mediator",
        "Evidence"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "NCG",
      "title": "Network of Cancer Genes 7.0",
      "object": "NCG",
      "file": "NCG.rda",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "symbol",
        "NCG_driver",
        "NCG_cgc_annotation",
        "NCG_vogelstein_annotation",
        "NCG_saito_annotation",
        "NCG_pubmed_id",
        "NCG_cancer_type"
      ],
      "rows": 3347,
      "table": true,
      "tojson": true
    },
    {
      "name": "Oncogenic_mediators_methylation_summary",
      "title": "Output example from GMA function",
      "object": "Oncogenic_mediators_methylation_summary",
      "file": "Oncogenic_mediators_methylation_summary.rda",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Hugo_Symbol",
        "Moonlight_Oncogenic_Mediator",
        "No_methyl_num",
        "Hypo_methyl_num",
        "Hyper_methyl_num",
        "Dual_methyl_num",
        "Evidence"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "Oncogenic_mediators_mutation_summary",
      "title": "Oncogenic Mediators Mutation Summary",
      "object": "Oncogenic_mediators_mutation_summary",
      "file": "Oncogenic_mediators_mutation_summary.rda",
      "class": [
        "grouped_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Hugo_Symbol",
        "Moonlight_Oncogenic_Mediator",
        "CScape_Passenger",
        "CScape_Driver",
        "CScape_Unclassified",
        "Transcription_mut_sum",
        "Translation_mut_sum",
        "Protein_mut_sum",
        "Total_Mutations",
        "NCG_driver",
        "NCG_cgc_annotation",
        "NCG_vogelstein_annotation",
        "NCG_saito_annotation",
        "NCG_pubmed_id",
        "NCG_cancer_type"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "tabGrowBlock",
      "title": "Information of growing/blocking characteristics of 101 biological processes",
      "object": "tabGrowBlock",
      "file": "tabGrowBlock.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Disease",
        "Cancer.growing.",
        "Cancer.blocking"
      ],
      "rows": 101,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "confidence",
      "title": "confidence",
      "topics": [
        "confidence"
      ]
    },
    {
      "page": "cscape_somatic_output",
      "title": "Cscape-somatic annotations of TCGA-LUAD",
      "topics": [
        "cscape_somatic_output"
      ]
    },
    {
      "page": "DAPsmatrix",
      "title": "Differentially abundant proteins",
      "topics": [
        "DAPsmatrix"
      ]
    },
    {
      "page": "dataDMA",
      "title": "Output example from the function Driver Mutation Analysis",
      "topics": [
        "dataDMA"
      ]
    },
    {
      "page": "dataFEA",
      "title": "Functional enrichment analysis with ORA method",
      "topics": [
        "dataFEA"
      ]
    },
    {
      "page": "dataFEA_fgsea",
      "title": "Functional enrichment analysis with fgsea method",
      "topics": [
        "dataFEA_fgsea"
      ]
    },
    {
      "page": "dataFilt",
      "title": "Gene expression data from TCGA-LUAD",
      "topics": [
        "dataFilt"
      ]
    },
    {
      "page": "dataGLS",
      "title": "Literature search of driver genes",
      "topics": [
        "dataGLS"
      ]
    },
    {
      "page": "dataGMA",
      "title": "Output example from GMA function",
      "topics": [
        "dataGMA"
      ]
    },
    {
      "page": "dataGRN",
      "title": "Gene regulatory network",
      "topics": [
        "dataGRN"
      ]
    },
    {
      "page": "dataGRN_no_noise",
      "title": "Gene regulatory network",
      "topics": [
        "dataGRN_no_noise"
      ]
    },
    {
      "page": "dataMAF",
      "title": "Mutation data from TCGA LUAD",
      "topics": [
        "dataMAF"
      ]
    },
    {
      "page": "dataMAVISp",
      "title": "MAVISp dataset example",
      "topics": [
        "dataMAVISp"
      ]
    },
    {
      "page": "dataMethyl",
      "title": "Methylation data matrix from TCGA-LUAD project",
      "topics": [
        "dataMethyl"
      ]
    },
    {
      "page": "dataPRA",
      "title": "Output example from function Pattern Recognition Analysis",
      "topics": [
        "dataPRA"
      ]
    },
    {
      "page": "dataURA",
      "title": "Upstream regulator analysis",
      "topics": [
        "dataURA"
      ]
    },
    {
      "page": "dataURA_plot",
      "title": "Upstream regulator analysis",
      "topics": [
        "dataURA_plot"
      ]
    },
    {
      "page": "DEG_Methylation_Annotations",
      "title": "Output example from GMA function",
      "topics": [
        "DEG_Methylation_Annotations"
      ]
    },
    {
      "page": "DEG_Mutations_Annotations",
      "title": "Differentially expressed genes's Mutations",
      "topics": [
        "DEG_Mutations_Annotations"
      ]
    },
    {
      "page": "DEGsmatrix",
      "title": "Differentially expressed genes",
      "topics": [
        "DEGsmatrix"
      ]
    },
    {
      "page": "DiseaseList",
      "title": "Cancer-related biological processes",
      "topics": [
        "DiseaseList"
      ]
    },
    {
      "page": "DMA",
      "title": "DMA",
      "topics": [
        "DMA"
      ]
    },
    {
      "page": "EAGenes",
      "title": "Information about genes",
      "topics": [
        "EAGenes"
      ]
    },
    {
      "page": "EncodePromoters",
      "title": "Promoters",
      "topics": [
        "EncodePromoters"
      ]
    },
    {
      "page": "EpiMix_Results_Regular",
      "title": "Output example from GMA function",
      "topics": [
        "EpiMix_Results_Regular"
      ]
    },
    {
      "page": "FEA",
      "title": "FEA",
      "topics": [
        "FEA"
      ]
    },
    {
      "page": "GEO_TCGAtab",
      "title": "Information on GEO and TCGA data",
      "topics": [
        "GEO_TCGAtab"
      ]
    },
    {
      "page": "getDataGEO",
      "title": "getDataGEO",
      "topics": [
        "getDataGEO"
      ]
    },
    {
      "page": "GLS",
      "title": "GLS This function carries out gene literature search.",
      "topics": [
        "GLS"
      ]
    },
    {
      "page": "GMA",
      "title": "GMA This function carries out Gene Methylation Analysis",
      "topics": [
        "GMA"
      ]
    },
    {
      "page": "GRN",
      "title": "Generate network",
      "topics": [
        "GRN"
      ]
    },
    {
      "page": "GSEA",
      "title": "GSEA",
      "topics": [
        "GSEA"
      ]
    },
    {
      "page": "knownDriverGenes",
      "title": "Information of known cancer driver genes from COSMIC",
      "topics": [
        "knownDriverGenes"
      ]
    },
    {
      "page": "LiftMAF",
      "title": "LiftMAF",
      "topics": [
        "LiftMAF"
      ]
    },
    {
      "page": "listMoonlight",
      "title": "List of oncogenic mediators of 5 TCGA cancer types",
      "topics": [
        "listMoonlight"
      ]
    },
    {
      "page": "loadMAVISp",
      "title": "loadMAVISp",
      "topics": [
        "loadMAVISp"
      ]
    },
    {
      "page": "LOC_protein",
      "title": "Level of Consequence: Protein",
      "topics": [
        "LOC_protein"
      ]
    },
    {
      "page": "LOC_transcription",
      "title": "Level of Consequence: Transcription",
      "topics": [
        "LOC_transcription"
      ]
    },
    {
      "page": "LOC_translation",
      "title": "Level of Consequence: Translation",
      "topics": [
        "LOC_translation"
      ]
    },
    {
      "page": "LPA",
      "title": "LPA",
      "topics": [
        "LPA"
      ]
    },
    {
      "page": "LUAD_sample_anno",
      "title": "Sample annotations of TCGA-LUAD project",
      "topics": [
        "LUAD_sample_anno"
      ]
    },
    {
      "page": "MAFtoCscape",
      "title": "MAFtoCscape",
      "topics": [
        "MAFtoCscape"
      ]
    },
    {
      "page": "MetEvidenceDriver",
      "title": "Methylation evidence table to define driver genes",
      "topics": [
        "MetEvidenceDriver"
      ]
    },
    {
      "page": "moonlight",
      "title": "moonlight pipeline",
      "topics": [
        "moonlight"
      ]
    },
    {
      "page": "NCG",
      "title": "Network of Cancer Genes 7.0",
      "topics": [
        "NCG"
      ]
    },
    {
      "page": "Oncogenic_mediators_methylation_summary",
      "title": "Output example from GMA function",
      "topics": [
        "Oncogenic_mediators_methylation_summary"
      ]
    },
    {
      "page": "Oncogenic_mediators_mutation_summary",
      "title": "Oncogenic Mediators Mutation Summary",
      "topics": [
        "Oncogenic_mediators_mutation_summary"
      ]
    },
    {
      "page": "plotCircos",
      "title": "plotCircos",
      "topics": [
        "plotCircos"
      ]
    },
    {
      "page": "plotDMA",
      "title": "plotDMA",
      "topics": [
        "plotDMA"
      ]
    },
    {
      "page": "plotFEA",
      "title": "plotFEA",
      "topics": [
        "plotFEA"
      ]
    },
    {
      "page": "plotGMA",
      "title": "plotGMA This function plots results of the Gene Methylation Analysis. It visualizes the number of hypo/hyper/dual methylated CpG sites in oncogenic mediators or in a user-supplied gene list. The results are visualized either in a single heatmap or split into different ones which is specified in the function's three modes: split, complete and genelist.",
      "topics": [
        "plotGMA"
      ]
    },
    {
      "page": "plotHeatmap",
      "title": "plotHeatmap",
      "topics": [
        "plotHeatmap"
      ]
    },
    {
      "page": "plotMetExp",
      "title": "plotMetExp This function visualizes results of EpiMix.",
      "topics": [
        "plotMetExp"
      ]
    },
    {
      "page": "plotMoonlight",
      "title": "plotMoonlight",
      "topics": [
        "plotMoonlight"
      ]
    },
    {
      "page": "plotMoonlightMet",
      "title": "plotMoonlightMet This function visualizes the effect of genes on biological processes and total number of hypo/hyper/dual methylated CpG sites in genes.",
      "topics": [
        "plotMoonlightMet"
      ]
    },
    {
      "page": "plotNetworkHive",
      "title": "plotNetworkHive: Hive network plot",
      "topics": [
        "plotNetworkHive"
      ]
    },
    {
      "page": "plotURA",
      "title": "plotURA: Upstream regulatory analysis heatmap plot",
      "topics": [
        "plotURA"
      ]
    },
    {
      "page": "PRA",
      "title": "Pattern Recognition Analysis (PRA)",
      "topics": [
        "PRA"
      ]
    },
    {
      "page": "PRAtoTibble",
      "title": "PRAtoTibble",
      "topics": [
        "PRAtoTibble"
      ]
    },
    {
      "page": "RunCscape_somatic",
      "title": "RunCscape_somatic",
      "topics": [
        "RunCscape_somatic"
      ]
    },
    {
      "page": "tabGrowBlock",
      "title": "Information of growing/blocking characteristics of 101 biological processes",
      "topics": [
        "tabGrowBlock"
      ]
    },
    {
      "page": "TFinfluence",
      "title": "TFinfluence",
      "topics": [
        "TFinfluence"
      ]
    },
    {
      "page": "URA",
      "title": "URA Upstream Regulator Analysis",
      "topics": [
        "URA"
      ]
    }
  ],
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  ],
  "_vignettes": [
    {
      "source": "Moonlight2R.Rmd",
      "filename": "Moonlight2R.html",
      "title": "A workflow to study mechanistic indicators for driver gene prediction with Moonlight",
      "author": "Mona Nourbakhsh^+^ , Astrid Saksager^+^, Nikola Tom, Xi Steven Chen, Antonio Colaprico, Catharina Olsen, Matteo Tiberti, Elena Papaleo",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Abstract",
        "Introduction",
        "Moonlight's pipeline",
        "Moonlight's proposed workflow",
        "Installation",
        "Installation from BioConductor",
        "Installation from GitHub",
        "Installation from GitHub with accompanying vignette",
        "Load libraries",
        "Obtain Input",
        "Download: Get GEO data",
        "getDataGEO: Search by cancer type and data type [Gene Expression]",
        "FEA: Functional Enrichment Analysis",
        "FEAplot: Functional Enrichment Analysis Plot",
        "GRN: Gene Regulatory Network",
        "URA: Upstream Regulator Analysis",
        "PRA: Pattern Regognition Analysis",
        "DMA: Driver Mutation Analysis",
        "GMA: Gene Methylation Analysis",
        "GLS: Gene Literature Search",
        "Transcription factor-based layer of secondary evidence",
        "loadMAVISp: Helper function for loading the MAVISp database",
        "TFinfluence: Effect of mutations on transcription factors",
        "Level of consequence: Effect of mutations on three different levels",
        "plotNetworkHive: GRN hive visualization taking into account COSMIC cancer genes",
        "plotDMA: Heatmap of the driver/passenger status of mutations in TSGs/OCGs",
        "plotMoonlight: Heatmap of Moonlight Gene Z-scores for mutation-driven TSGs/OCGs",
        "plotGMA: Heatmap of hypo/hyper/dual methylated CpG sites in TSGs/OCGs",
        "plotMoonlightMet: Heatmap of Moonlight Gene Z-scores for methylation-driven TSGs/OCGs",
        "plotMetExp: Visualize results from EpiMix of expression and methylation in genes",
        "Moonlight Analysis: Case Studies",
        "Case study n. 1: Predicting oncogenic mediators using Moonlight's primary layer",
        "plotURA: Upstream regulatory analysis plot",
        "Case study n. 2: Moonlight pipeline in one function",
        "plotCircos: Moonlight Circos Plot",
        "Case study n. 3: Moonlight with driver mutation analysis",
        "Case study n. 4: Moonlight with gene methylation analysis",
        "Citation",
        "References"
      ],
      "created": "2022-11-21 12:28:55",
      "modified": "2026-04-24 09:02:52",
      "commits": 22
    }
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