#' Subset The Kinome Data
#'
#' Subset the Kinome data to a given list of peptides and conditions
#'
#' @param chipdata Pamchip-PTK. A Pamchip-PTK Object with all the data available
#' @param peptides character. A vector of peptides of interest
#' @param class character. A specification of the sample class you want to filter to
#'
#' @return A tibble with the filtered and asinh transformed data
#' @export
#'
#' @import dplyr tidyselect
#'
#' @examples
#' TRUE
subset_data <- function(chipdata, peptides, class) {
if (!class %in% classes(chipdata)) {
stop("Unrecognized class supplied. Cannot continue.")
}
if (!all(peptides %in% peptides(chipdata))) {
stop("Unrecognized peptides in the peptide list. Cannot continue.")
}
samples <- pheno_data(chipdata) %>%
dplyr::filter(.data$class == {
{
class
}
}) %>%
dplyr::pull(.data$sample)
filtered_data <- exp_data(chipdata) %>%
dplyr::filter(.data$sample %in% samples) %>%
dplyr::select(tidyselect::any_of(peptides)) %>%
dplyr::mutate(dplyr::across(tidyselect::everything(), asinh))
filtered_data
}
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