##' Function to identify fusions called by at least n callers
#' @param standardFusioncalls A dataframe from star fusion or arriba standardized to run through the filtering steps
#' @param group column name in input standard fusion calls that should be used to identify subset the sample belongs to in the cohort
#' @param numGroup Least number of groups that have the fusion to categories as false call in cohort
#'
#' @export
#'
#' @return Fusions found in more than n groups in cohort
#'
#' @examples
#' out_annofuse <- system.file("extdata", "PutativeDriverAnnoFuse.tsv", package = "annoFuseData")
#' sfc <- read.delim(out_annofuse)
#' sfc_groupcount <- groupcount_fusion_calls(sfc, group = "Sample", 1)
groupcount_fusion_calls <- function(standardFusioncalls,
group,
numGroup) {
standardFusioncalls <- .check_annoFuse_calls(standardFusioncalls)
stopifnot(group %in% colnames(standardFusioncalls))
stopifnot(is.numeric(numGroup))
# remove fusions that are in > numGroup
group.count <- standardFusioncalls %>%
dplyr::select(.data$FusionName, !!as.name(group)) %>%
unique() %>%
group_by(.data$FusionName) %>%
dplyr::mutate(group.ct = n(), Groups = toString(!!(as.name(group)))) %>%
dplyr::select(-group) %>%
unique() %>%
dplyr::filter(.data$group.ct > numGroup)
return(group.count)
}
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