#' Iterate \code{buildEnrichTable} along the specified GO ontologies and GO levels
#'
#' @param x object of class "list". Each of its elements must be a "character" vector of gene
#' identifiers (e.g., ENTREZ). Then all pairwise contingency tables of joint enrichment are built between
#' these gene lists, iterating the process for all specified GO ontologies and GO levels.
#' @param check.table Boolean. If TRUE (default), all resulting tables are checked by means
#' of function \code{nice2x2Table}.
#' @param ontos "character", GO ontologies to analyse. Defaults to \code{c("BP", "CC", "MF")}.
#' @param GOLevels "integer", GO levels to analyse inside each of these GO ontologies.
#' @param storeEnrichedIn logical, for each ontology and level under study, the matrix of enriched
#' (GO terms) x (gene lists) TRUE/FALSE values, must be stored in the result?
#' @param trace Logical. If TRUE (default), the (usually very time consuming) process of function
#' \code{allbuildEnrichTable} is traced along the specified GO ontologies and levels.
#' @param ... extra parameters for function \code{buildEnrichTable}.
#'
#' @return
#' An object of class "allTableList". It is a list with as many components as GO ontologies have been
#' analysed.
#' Each of these elements is itself a list with as many components as GO levels have been analised.
#' Finally, the elements of these lists are objects as generated by \code{buildEnrichTable.list},
#' i.e., objects of class "tableList" containing all pairwise contingency tables of mutual enrichment
#' between the gene lists in argument \code{x}.
#'
#' @examples
#' # This example is highly time-consuming. It scans two GO ontologies and three
#' # GO levels inside them to obtain the contingency tables of joint enrichment.
#'
#' # Obtaining ENTREZ identifiers for the gene universe of humans:
#' # library(org.Hs.eg.db)
#' # humanEntrezIDs <- keys(org.Hs.eg.db, keytype = "ENTREZID")
#'
#' # Gene lists to be explored for enrichment:
#' # data(allOncoGeneLists)
#'
#' # Computing Contingency Tables for all the possible pairwise comparisons for
#' # the ontologies MF, BP, and the GO levels from 4 to 6:
#' # someOntosAndLevels <- allBuildEnrichTable(allOncoGeneLists,
#' # geneUniverse = humanEntrezIDs,
#' # orgPackg = "org.Hs.eg.db",
#' # ontos = c("MF", "BP"),
#' # GOLevels = seq.int(4,6))
#' # someOntosAndLevels$BP$`level 4`
#' # attr(someOntosAndLevels$BP$`level 4`, "enriched")
#' #
#' # To avoid storage-consuming redundancies, the table of GO terms x gene lists
#' # enrichment is not stored for the full set of gene list pairs at each
#' # ontology and level
#' # someOntosAndLevels$BP$`level 4`$Vogelstein
#' # attr(someOntosAndLevels$BP$`level 4`$Vogelstein, "enriched")
#' # someOntosAndLevels$BP$`level 4`$Vogelstein$atlas
#' # attr(someOntosAndLevels$BP$`level 4`$Vogelstein$atlas, "enriched")
#' #
#' # When the "ontos" and/or "GOLevels" arguments are not supplied, the function
#' # computes by default every possible contingency table between the lists
#' # being compared for the three ontologies (BP, CC, MF) and/or GO levels from
#' # 3 to 10.
#'
#' @export
allBuildEnrichTable <- function(x, check.table = TRUE,
ontos = c("BP", "CC", "MF"),
GOLevels = seq.int(3,10),
storeEnrichedIn = TRUE,
trace = TRUE,
...)
{
allOntos <- lapply(ontos, function(onto) {
if (trace) {
cat("\nBuilding contingency tables for ontology ", onto, "\n")
}
thisOnto <- lapply(GOLevels, function(lev) {
if (trace) {
cat("\n Level ", lev, "\n")
}
result <- buildEnrichTable(x, check.table = check.table,
onto = onto, GOLevel = lev,
storeEnrichedIn = storeEnrichedIn,
...)
return(result)
})
names(thisOnto) <- paste("level", GOLevels)
return(thisOnto)
})
names(allOntos) <- ontos
class(allOntos) <- c("allTableList", "list")
return(allOntos)
}
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