#' refseqWGCNA
#'
#' @description Text mining WGCNA results
#' @details Return the list of biotext class object per cluster for the blockwise module results in WGCNA
#'
#' @param wgcna results of blockwiseModules()
#' @param keyType key type of gene
#' @param argList argument list to pass to refseq()
#' @export
#' @examples
#' cols <- sample(c(1), 6, replace=TRUE)
#' names(cols) <- c("PNKP","ERCC2","ERCC3","IRF3","TP53","MCM6")
#' wg <- list("colors"=cols)
#' refseqWGCNA(wg, keyType="SYMBOL")
#' @return list of biotext class object
refseqWGCNA <- function(wgcna, keyType="ENSEMBL", argList=list()) {
all_cols <- unique(wgcna$colors)
qqcat("Processing a total of @{length(all_cols)} clusters\n")
lapply(all_cols, function(col) {
input <- wgcna$colors[wgcna$colors == col] |> names()
argList[["geneList"]] <- input
if (!("keyType" %in% names(argList))) {
argList[["keyType"]] <- keyType
}
res <- try(do.call(refseq, argList))
if ("try-error" %in% class(res)) {
return(NA)
} else { return(res) }
})
}
#' refseqDESeq2
#'
#' @description Text mining DESeq2 results
#' @details Return the biotext class object by specified filter in DESeq2 results object
#'
#' @param res results of DESeq2::results()
#' @param condition filtering condition
#' @param keyType key type of gene
#' @param argList argument list to pass to refseq()
#' @export
#' @return list of biotext class object
refseqDESeq2 <- function(res, condition, keyType="ENSEMBL",
argList=list()) {
argList[["geneList"]] <- res %>%
data.frame() %>%
filter(!!enquo(condition)) %>%
row.names()
if (!("keyType" %in% names(argList))) {
argList[["keyType"]] <- keyType
}
do.call(refseq, argList)
}
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