Prediction results for the COXEN model using either ER+ (ER-positive) or ER– (ER-negative) breast cancer cell lines, evaluated by area under receiver operator characteristic (AU-ROC) scores.
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https://figshare.com/articles/dataset/_Prediction_results_for_the_COXEN_model_using_either_ER_ER_positive_or_ER_8211_ER_negative_breast_cancer_cell_lines_evaluated_by_area_under_receiver_operator_characteristic_AU_ROC_scores_/208715
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**: P<0.05,
*: P<0.1.
The MAQC-Validation and Tabchy-TFAC were truly independent validation sets here because the MAQC-training and Tabchy-FEC were used to optimize the COXEN model.
创建时间：
2012-11-21
