R/data.R

In richelbilderbeek/bianchi_et_al_2017: Bianchi Et Al Two Thousand Seventeen

# RJCB: No idea how to export these datasets...
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# NULL
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# #' Transmembrane helix-derived epitopes from a B cell elution study [1].
#'
# #'  * [1] 'Schellens, Ingrid MM, et al. "Comprehensive analysis of the
# #' naturally processed peptide repertoire: differences between HLA-A and B in
# #' the immunopeptidome." PloS one 10.9 (2015): e0136417. S1 Table. List of
# #' peptide sequences. https://doi.org/10.1371/journal.pone.0136417.s005 .
#'
# #' @seealso  use `get_schellens_et_al_2015_sup_1` to obtain that table
#'
# #' @format A data frame with five variables: \code{year}, \code{sex},
# #'   \code{name}, \code{n} and \code{prop} (\code{n} divided by total number
# #'   of applicants in that year, which means proportions are of people of
# #'   that sex with that name born in that year).
# "TMH-Bcell-elution.txt"

# #' Non-transmembrane-helix-derived epitopes from a B cell elution study [1].
#'
# #'  * [1] 'Schellens, Ingrid MM, et al. "Comprehensive analysis of the
# #' naturally processed peptide repertoire: differences between HLA-A and B in
# #' the immunopeptidome." PloS one 10.9 (2015): e0136417. S1 Table. List of
# #' peptide sequences. https://doi.org/10.1371/journal.pone.0136417.s005 .
#'
# #' @seealso  use `get_schellens_et_al_2015_sup_1` to obtain that table
#'
# #' @format A data frame with five variables: \code{year}, \code{sex},
# #'   \code{name}, \code{n} and \code{prop} (\code{n} divided by total number
# #'   of applicants in that year, which means proportions are of people of
# #'   that sex with that name born in that year).
# "non-TMH-Bcell-elution.txt"