#' Transfer Learning between ATACseq data sets using projectR
#'
#' Wrapper function for projectR which finds overlaps between the peaks of the
#' atac data CoGAPS was run on and maps them to new data set the user wishes to
#' project learned patterns into.
#'
#' @param newData the ATAC data to project into
#' @param CoGAPSResult result from CoGAPS run on original ATAC data
#' @param originalPeaks peaks from the ATAC data Cogaps was run on
#' @param originalGranges granges of the peaks for the data set Cogaps was run
#' on
#' @param newGranges granges of the peaks for the new data set
#' @return A matrix of the projected patterns in the input data as well as
#' p-values for each element of that matrix.
#'
#' @export
ATACTransferLearning <- function(newData, CoGAPSResult, originalPeaks,
originalGranges, newGranges) {
olaps <- as.matrix(GenomicRanges::findOverlaps(originalGranges, newGranges))
olap_peaks<-originalPeaks[olaps[,1]]
newDataSub <- newData[olaps[,2],]
pR <- projectR::projectR(newDataSub, CoGAPSResult, olap_peaks, originalPeaks,
full = TRUE)
return(pR)
}
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