#' @title Filter Genes By Expression Level
#'
#' @description Determine which genes have sufficiently large counts to be retained in a statistical analysis.
#' This is a similar function to \code{edgeR::filterByExpr}
#'
#' @param object \code{character} Name of the \code{eSet}, \code{RangedSummarizedExperiment} on the server
#' @param group character indicating the vector or factor giving group membership (optional).
#' @param newobj.name \code{character} (default \code{NULL}) Name to be assigned
#' on the server to the RangedSummarizedExperiment. If \code{NULL} the created \code{RangedSummarizedExperiment} will
#' be assigned to a variable named \code{'rse.filter'}
#' @param datasources a list of \code{\link{DSConnection-class}} (default \code{NULL}) objects obtained after login
#'
#' @return This function does not have an output. It creates (or overwrites) a data frame on the study server.
#' @export
ds.RNAseqPreproc <- function(object, group = NULL, newobj.name = NULL, datasources = NULL){
if (is.null(datasources)) {
datasources <- DSI::datashield.connections_find()
}
if(is.null(newobj.name)){
newobj.name <- 'rse.filter'
}
dsBaseClient:::isDefined(datasources, object)
cls <- dsBaseClient:::checkClass(datasources, object)
if(!cls %in% c("RangedSummarizedExperiment", "SummarizedExperiment", "ExpressionSet")){
stop("[",object,"] is not a 'data.frame'")
}
cally <- paste0("RNAseqPreprocDS(", object, ",",
if(is.null(group)){"NULL"}else{paste0("'",group,"'")}, ")")
DSI::datashield.assign.expr(datasources, newobj.name, cally)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.