File S1 - Mining Gene Expression Data of Multiple Sclerosis

File S1: Contains Tables S1-S3. Table S1. Gene Ontology analysis of the selected genes using GATHER (http://gather.genome.duke.edu/). Table S2. The strength of association between genes and disease indicated as the counts of publications retrieved from GeneCards (until September 1, 2012). Accordingly, more related studies retrieved by GeneCards supports much stronger association between genes and potential diseases. Table S3. R code of feature selection algorithms and a robust SVM classification model. Feature selection algorithms (SVM-RFE, ROC and Botuta) and classification models (SVM, Random Forests, naïve Bayes, Artificial Neural Network, Logistic Regression and k-Nearest Neighbor) were built within R software. The symbol of ‘#’ referred to the program annotation. (DOC)