#'Connection Comparision
#'
#'compares two Conns files by peak similarity and total connections
#'
#' @param WT_conns a conns file
#' @param KO_conns a conns file
#'
#' @return a dataframe containing the results of the comparision
#'
#' @examples
#' results.data = compareConns(WT_conns, KO_conns)
#'
#' @export
compareConns <- function(WT_conns, KO_conns)
{
name1="K"
name2="W"
uniquePeaksKO = unique_peak(KO_conns)
uniquePeaksWT = unique_peak(WT_conns)
vectorsizeWT <- length(uniquePeaksWT)
vectorsizeKO <- length(uniquePeaksKO)
WTpeaks.data <- createDF(vectorsizeWT)
KOpeaks.data <- createDF(vectorsizeKO)
WTpeaks.data <- buildDF(uniquePeaksWT, WTpeaks.data)
KOpeaks.data <- buildDF(uniquePeaksKO, KOpeaks.data)
SUMpeaks.data = sumPeaksName(WTpeaks.data, KOpeaks.data, vectorsizeKO, name1, name2)
SUMpeaksblend.data = peakBlend(SUMpeaks.data)
SUMpeaksWT.data <- connblendInt(SUMpeaksblend.data, WT_conns, .3)
SUMpeaksKO.data <- connblendInt(SUMpeaksblend.data, KO_conns, .3)
access1 = paste("WT","_access",sep="")
access2 = paste("KO","_access",sep="")
connections1 = paste("WT","_connections",sep="")
connections2 = paste("KO","_connections",sep="")
colnames(SUMpeaksWT.data)[colnames(SUMpeaksWT.data)=="access"] <- access1
colnames(SUMpeaksKO.data)[colnames(SUMpeaksKO.data)=="access"] <- access2
colnames(SUMpeaksWT.data)[colnames(SUMpeaksWT.data)=="connections"] <- connections1
colnames(SUMpeaksKO.data)[colnames(SUMpeaksKO.data)=="connections"] <- connections2
SUMpeaksPreSort.data <- cbind(SUMpeaksKO.data, SUMpeaksWT.data[!names(SUMpeaksKO.data) %in% names(SUMpeaksWT.data)])
SUMpeaksPreSortB.data = SUMpeaksPreSort.data[SUMpeaksPreSort.data$location == "B",]
percentPeaks = ((dim(SUMpeaksPreSort.data)[1]-dim(SUMpeaksPreSortB.data)[1])/dim(SUMpeaksPreSort.data)[1])*100
if(sum(SUMpeaksPreSort.data$WT_access) >= sum(SUMpeaksPreSort.data$KO_access))
{
percentConn = ((sum(SUMpeaksPreSort.data$WT_access) -sum(SUMpeaksPreSort.data$KO_access)) /sum(SUMpeaksPreSort.data$WT_access))*100
}
if(sum(SUMpeaksPreSort.data$WT_access) < sum(SUMpeaksPreSort.data$KO_access))
{
percentConn = ((sum(SUMpeaksPreSort.data$KO_access) -sum(SUMpeaksPreSort.data$WT_access)) /sum(SUMpeaksPreSort.data$KO_access))*100
}
results <- data.frame("Percent Peaks" = percentPeaks, "Percent Conns" = percentConn)
return(results)
}
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