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Variable Importance (Gini) for the top 30 predictor genes. Gini variable importance measures reflect the mean decrease in impurity by splits of a given variable in the classification tree, weighted by the proportion of samples reaching that node. A greater “mean decrease Gini” indicates that the gene plays a greater role in partitioning the data into the defined classes.
