10.6084/m9.figshare.c.3595874_D5.v1 Elena Landoni Elena Landoni Rosalba Miceli Rosalba Miceli Maurizio Callari Maurizio Callari Paola Tiberio Paola Tiberio Valentina Appierto Valentina Appierto Valentina Angeloni Valentina Angeloni Luigi Mariani Luigi Mariani Maria Daidone Maria Daidone 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 Springer Nature 2015 Data mining Feature selection Machine learning Class prediction High-dimensional data SVM Plasma miRNAs 2015-11-18 05:00:00 Dataset 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)