five

Estimating the predictive power of variables using the area under a receiver operating characteristic curve (AUC).

收藏
NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://figshare.com/articles/dataset/Estimating_the_predictive_power_of_variables_using_the_area_under_a_receiver_operating_characteristic_curve_AUC_/11630547
下载链接
链接失效反馈
官方服务:
资源简介:
The p value indicates asymptotic significance with the null hypothesis being that the true AUC is equal to 0.5. The far-right column shows whether the variable is elevated or decreased in autistic patients (ASD) compared to healthy controls. PC1: first principal component in a principal component analysis used as a multivariate biomarker profile. The number of individual biomarkers used in each profile is indicated. The 9 biomarkers (K, Na, LDH, GLTN, GST, CK, CoQ10, Cas7, and MLTN); 7 biomarkers (K, Na, LDH, GSH, CK, CoQ10, and MLTN); 5 ratios (K:Na, GST:GLTN, CK:Cas7, CoQ10: Cas7, and Cas7:MLTN); 9 biomarkers and 5 ratios; or K, GST, and Cas7.
创建时间:
2020-01-16
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作