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Predictive performance of MinePath on three BrCa/ER datasets Rows and columns refer to training and test data, respectively.

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NIAID Data Ecosystem2026-03-09 收录
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https://figshare.com/articles/dataset/Predictive_performance_of_MinePath_on_three_BrCa_ER_datasets_Rows_and_columns_refer_to_training_and_test_data_respectively_/4229072
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Bold figures for ‘Average ACC’ indicate superior performance; ‘SP’–sub-path, ‘ACC’–prediction (on unseen/test data) accuracy, ‘AUC’–Area Under the Curve, ‘Average ACC’–average accuracy, i.e., the average accuracy of GSE3494 over GSE2034 (89.5%) and GSE7390 (89.9%) is 89.7%.
创建时间:
2016-11-11
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