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#' @title DEET_data_download
#'
#' @description Function to automatically download the files within
#' the DEET database that are required for the DEET_enrich
#' and DEET_feature_extractfunctions.
#'
#' @param x categorical variable containing options "ALL", "enrich",
#' "metadata" or "feature_matrix".
#'
#'
#' @return Named list with the neccesary data required to input into
#' DEET_feature_extract or DEET_enrich. The metadata within DEET
#' can also be downloaded.
#'
#' \itemize{
#' \item feature_matrix - A gene by comparison matrix populated
#' with the log2FC of gene expression for all genes, regardless
#' of DE status.
#' \item metadata - a comparison - by - explanatory piece of data dataframe
#' providing important details to contextualize each study.
#' For every pairwise comparison, the study name,
#' source (SRA, TCGA, GTEx and SRA-manual),
#' description from the DRA compendium,
#' the number of samples (total, up-condition,
#' and down-condition), samples (total ,up-condition, down-condition),
#' tissue (including tumour from TCGA),
#' number of DEs (total, up-condition, down-condition),
#' age (mean +- sd), sex, top 15 DEGs - up, top 15 DEGs - down,
#' top 5 enriched pathways, and top 5 enriched TFs.
#' PMID are also available for studies selected from SRA.
#' Lastly, each pairwise comparison was given an overall
#' category based on those decided in Crow et al., 2019.
#' \item DEET_enrich - A named list of seven objects containing
#' the data frames summarizing the DEGs from comparisons within
#' DEET, GMT objects of comparisons within DEET for enrichment
#' through ActivePathways, GMT objects for basic pathway and TF
#' enrichment, and a dataframe for the metadata of each study.
#' For more detail on each element of the list, please consult
#' the vignette or "?DEET_example_data", as it is a subset
#' of this object
#' }
#'
#' @author Dustin Sokolowski, Jedid Ahn
#'
#' @examples
#' \donttest{
#'
#' # Download the metadata. Downloading other
#' # files within DEET are larger and take
#' # a bit more time.
#' downloaded <- DEET_data_download(x = "metadata")
#'
#' # extract metadata from the list
#' metadata <- downloaded[["metadata"]]
#'
#'}
#'
#' @references
#' Engebretsen, S., & Bohlin, J. (2019). Statistical predictions with glmnet.
#' Clinical epigenetics, 11(1), 1-3.
#'
#' @export
#' @importFrom downloader download
#'
DEET_data_download <- function(x = "enrich") {
#dummy_downloads
DEET_metadata <- DEET_combined <- DEET_log2FC_matrix <- ""
inputCheck <- c(x %in% c("ALL", "enrich", "metadata", "feature_matrix"))
if(!inputCheck) {
stop("Inputted variable was not in options: ALL, enrich, metadata, feature_matrix.
Case sensitive. Please input one of these options or download manually from
http://wilsonlab.org/public/DEET_data/.")
}
l <- list()
if(x == "ALL") {
x <- c("enrich", "metadata", "feature_matrix")
}
for(i in x) {
if(i %in% "metadata") {
datafile <- "DEET_metadata.rda"
metafile <- paste0(datafile)
url <- paste0("http://www.wilsonlab.org/public/DEET_data/",
metafile, "?raw=true")
destfile <- file.path(tempdir(), metafile)
downloader::download(url, destfile = destfile, mode = "wb")
load(destfile)
l[["metadata"]] <- DEET_metadata
}
if(i %in% "enrich") {
datafile <- "DEET_combined.rda"
metafile <- paste0(datafile)
url <- paste0("http://www.wilsonlab.org/public/DEET_data/",
metafile, "?raw=true")
destfile <- file.path(tempdir(), metafile)
downloader::download(url, destfile = destfile, mode = "wb")
load(destfile)
l[["DEET_enrich"]] <- DEET_combined
}
if(i %in% "feature_matrix") {
datafile <- "DEET_log2FC_matrix.rda"
metafile <- paste0(datafile)
url <- paste0("http://www.wilsonlab.org/public/DEET_data/",
metafile, "?raw=true")
destfile <- file.path(tempdir(), metafile)
downloader::download(url, destfile = destfile, mode = "wb")
load(destfile)
l[["DEET_feature_extract"]] <- DEET_log2FC_matrix
}
}
return(l)
}
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