BiplotML: Biplots Estimation with Algorithms ML

#' Binary data set of 48 human cell lines.
#'
#' A dataset containing the BRCA (breast invasive carcinoma) for 48 human cell lines,
#' where each variable is a likely cancer driver or suppressor gene.
#' A gene is labeled as '1' when it is classified as mutated in a sample and
#' as '0' when classified as wild type.
#'
#' @format A data frame with 48 rows and 9 variables:
#' \describe{
#'   \item{GSTM1}{Glutathione S-Transferase Mu 1, is a Protein Coding gene}
#'   \item{C1orf70}{Chromosome 1 Open Reading Frame 70, Transmembrane Protein}
#'   \item{DNM3}{Dynamin 3, is a Protein Coding gene}
#'   \item{THY1}{Thy-1 Cell Surface Antigen, is a Protein Coding gene}
#'   \item{ADCY4}{Adenylate Cyclase 4, is a Protein Coding gene}
#'   \item{GSTT1}{Glutathione S-Transferase Theta 1, is a Protein Coding gen}
#'   \item{FILIP1L}{Filamin A Interacting Protein 1 Like, is a Protein Coding gene}
#'   \item{DUSP22}{Dual Specificity Phosphatase 22, is a Protein Coding gene}
#'   \item{NAPRT1}{Nicotinic Acid Phosphoribosyltransferase}
#' }
#' @source \url{https://www.cancerrxgene.org}
"Methylation"