Additional file 1: of Proposal of supervised data analysis strategy of plasma miRNAs from hybridisation array data with an application to assess hemolysis-related deregulation Elena Landoni Rosalba Miceli Maurizio Callari Paola Tiberio Valentina Appierto Valentina Angeloni Luigi Mariani Maria Daidone 10.6084/m9.figshare.c.3595874_D5.v1 https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Proposal_of_supervised_data_analysis_strategy_of_plasma_miRNAs_from_hybridisation_array_data_with_an_application_to_assess_hemolysis-related_deregulation/4316882 R codes for implementing the described analyses (sample processing, data pre-processing, class comparison and class prediction). Caliper matching was implemented using the nonrandom package; the t- and the AD tests were implemented using the stats package and the adk package, respectively. Notice that the updated package for implementing the AD test is kSamples. As regards the bootstrap selection and the egg-shaped plot, we respectively modified the doBS and the importance igraph functions, both included in the bootfs package. For the SVM model we used the e1071 package. (R 12 kb) 2015-11-18 05:00:00 Data mining Feature selection Machine learning Class prediction High-dimensional data SVM Plasma miRNAs