View source: R/Dif_expression_Analysis.R
go_analaysis_gorilla | R Documentation |
Supports Gene symbols as default, and will produce the best results. You can also use ensembl gene ids, refseq gene ids and Entrez gene ids, but this will give weaker results.
go_analaysis_gorilla(
target_genes,
background_genes,
organism,
analysis_name = paste0("Go_analysis_", organism),
open_browser = TRUE,
pvalue_thresh = 0.01,
db = "all"
)
target_genes |
a path to a txt file with the target Gene symbols, or presumed to be a character vector of genes (if length > 1). Minimum 10 genes, maximum 1 million. |
background_genes |
a path to a txt file with the background Gene symbols, or presumed to be a character vector of genes (if length > 1). Minimum 10 genes, maximum 2 million. |
organism |
organism(df), example "Homo sapiens" |
analysis_name |
character name, default "test". Used for saved file names and analysis name in GOrilla. |
open_browser |
= TRUE, open the URL |
pvalue_thresh |
fixed set numeric, default 0.001, Alternatives: 10e-3 to 10e-11 |
db |
character, default "all". Which GO onthology categories to use, all means process, function and component. Alternatives: "proc", "func" and "comp", if you only want that single category subset. |
a url path to results, will also open your default web browser if open_browser is TRUE.
https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-10-48
target_genes <- system.file("extdata/Homo_sapiens_sample/QC_STATS",
"/DTEG_Comparison_Translation.txt", package = "ORFik")
background_genes <- system.file("extdata/Homo_sapiens_sample/QC_STATS",
"/DTEG_Comparison_Background.txt", package = "ORFik")
#go_analaysis_gorilla(target_genes, background_genes, "Homo sapiens",
# analysis_name = "Translation vs background")
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