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##' Gene Set Enrichment Analysis of MeSH
##'
##'
##' @title gseMeSH
##' @param geneList order ranked geneList
##' @param MeSHDb MeSHDb
##' @param database one of 'gendoo', 'gene2pubmed' or 'RBBH'
##' @param category one of "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L","M", "N", "V", "Z"
##' @param exponent weight of each step
##' @param minGSSize minimal size of each geneSet for analyzing
##' @param maxGSSize maximal size of genes annotated for testing
##' @param eps This parameter sets the boundary for calculating the p value.
##' @param pvalueCutoff pvalue Cutoff
##' @param pAdjustMethod pvalue adjustment method
##' @param verbose print message or not
##' @param seed logical
##' @param by one of 'fgsea' or 'DOSE'
##' @param ... other parameter
##' @importClassesFrom DOSE gseaResult
##' @export
##' @return gseaResult object
##' @examples
##' \dontrun{
##' data(geneList, package="DOSE")
##' y <- gseMeSH(geneList, MeSHDb = "MeSH.Hsa.eg.db", database = 'gene2pubmed', category = "G")
##' }
##' @author Yu Guangchuang
gseMeSH <- function(geneList,
MeSHDb,
database = 'gendoo',
category = 'C',
exponent = 1,
minGSSize = 10,
maxGSSize = 500,
eps = 1e-10,
pvalueCutoff =0.05,
pAdjustMethod ="BH",
verbose = TRUE,
seed = FALSE,
by = 'fgsea',
...) {
MeSH_DATA <- get_MeSH_data(MeSHDb, database, category)
res <- GSEA_internal(geneList = geneList,
exponent = exponent,
minGSSize = minGSSize,
maxGSSize = maxGSSize,
eps = eps,
pvalueCutoff = pvalueCutoff,
pAdjustMethod = pAdjustMethod,
verbose = verbose,
USER_DATA = MeSH_DATA,
seed = seed,
by = by,
...)
meshdb <- get_fun_from_pkg("MeSH.db", "MeSH.db")
id <- res@result$ID
mesh2name <- select(meshdb, keys=id, columns=c('MESHID', 'MESHTERM'), keytype='MESHID')
res@result$Description <- mesh2name[match(id, mesh2name[,1]), 2]
res@organism <- get_organism(MeSHDb)
res@setType <- "MeSH"
return(res)
}
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