View source: R/pathway_analysis_webgestaltr.R
pathway_analysis_webgestaltr | R Documentation |
Performs gene ontology and impacted pathway enrichment analysis with a list of gene names and their fold-change.
pathway_analysis_webgestaltr(
gene_file = NULL,
reference_file = NULL,
organism = getOption("scflow_species", default = "human"),
enrichment_method = "ORA",
enrichment_database = c("geneontology_Biological_Process_noRedundant",
"geneontology_Cellular_Component_noRedundant",
"geneontology_Molecular_Function_noRedundant", "pathway_KEGG", "pathway_Reactome",
"pathway_Wikipathway")
)
gene_file |
For ORA, A data frame containing a list of significant genes
with column name |
reference_file |
A data frame containing all the genes that were used as input for differential expression. Column name should be gene. If not provided the human protein-coding genome will be used as background genes. |
organism |
default is human. From WebGestaltR supports 12 organisms,
common choices are "hsapiens" or "mmusculus". Users can use the function
|
enrichment_method |
Method of enrichment analysis. Either over-representation analysis (ORA) or (Gene set enrichment analysis) GSEA. |
enrichment_database |
Name of the database for enrichment. If not
provided then multiple databases will be used or user can specify one or more
database names from |
enrichment_result a list of data.frames containing enrichment output and a list of plots of top 10 significant genesets.
Other Impacted pathway analysis:
find_impacted_pathways()
,
list_databases()
,
pathway_analysis_enrichr()
,
report_impacted_pathway()
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