#' Calculate predicted gene expression based on estimated kinetic rates (only alpha and gamma)
#' using a simplified model.
#'
#' @param dataRates a data frame with estimated time-dependent transcription (alpha) and degradation (gamma) rates
#' @param threadN an integer the number of thread that used for calculation (default: 8)
#'
#' @return a data frame with predicted gene expression of m_u and m_total for genes in sorted cells.
#' @export
#'
#' @examples prediction <- getPredictions(dataRates, threadN = 8)
#'
getPredictions <-
function(dataRates,
threadN = 8){
if (!('foreach' %in% installed.packages())) {
stop("Please install foreach")
}
if (!('doParallel' %in% installed.packages())) {
stop("Please install doParallel")
}
library(foreach)
library(doParallel)
registerDoParallel(threadN)
prediction <-
foreach(i = as.vector(unique(dataRates$gene)), .combine = rbind) %dopar% {
tryCatch(dataRates %>%
dplyr::filter(gene==i) %>%
mutate(labeling_time = 15) %>%
do(getPredictionSimplifiedModelForEachGene(.)),
error=function(e) NULL)
}
return(prediction)
}
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