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