A multifeature nuclear morphometric score (MFSp) accurately discriminates cancer vs. benign cell populations: AUC results for two one-step logistic regression models.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_A_multifeature_nuclear_morphometric_score_MFSp_accurately_discriminates_cancer_vs_benign_cell_populations_AUC_results_for_two_one_step_logistic_regression_models_/756345
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*Model A: Five features selected by backwards elimination: (FeretY_ave, MaxDiameter_ave, Elongation_ave, Slope_ave, ODKurtosis_ave).**Model B: Five features (SumOD_sd, MaxDiameter_sd, TSD_sd, TEntropy_sd, No.MedDensityObjects_sd), selected after competition among all models with ≤5 covariates based on leave-one-out AUC.
创建时间：
2015-12-02
