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Composition of the classifier derived from class prediction (sorted by t -value): For feature selection the “univariate p-value <0.05 and 2 fold -change between classes” was applied. The column

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https://figshare.com/articles/dataset/_Composition_of_the_classifier_derived_from_class_prediction_sorted_by_t_value_For_feature_selection_the_8220_univariate_p_value_lt_0_05_and_2_fold_change_between_classes_8221_was_applied_The_column_/668629
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The column “%CV-support” in the table indicates the percentage of the cross-validation training sets in which each gene was selected during “leave-one out cross validation”. 100% means that the gene is so strong that it was selected in all of the cross-validated training sets. “Geom mean of intensities” is derived from transformed qPCR-Ct values.
创建时间:
2013-03-22
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