The statistical validation and assessment of the protein expression data have been dominated by the R language. R () is a popular framework for statistics and machine learning analysis. Many R packages are developed for bioinformatics analysis and visualization, especially due to the rapid increase of libraries provided by the Bioconductor . In 2014, Gatto et. al. showed that R and Bioconductor are the perfect environments for statistical analysis of proteomics data and indispensable for computational proteomics research.