With the growing use of machine learning (ML) techniques in hydrological applications, there is a need to analyze the robustness, performance, and reliability of predictions made with these ML models.

NIAID Data Ecosystem20

Number of train-test cycles in which feature was selected for the classifier.

特征选择分析

分类器优化

Number of train-test cycles in which feature was selected for the classifier.

NIAID Data Ecosystem60

Supplementary Table 7 - 9 from Clusterin Is a Gene-Specific Target of microRNA-21 in Head and Neck Squamous Cell Carcinoma

microRNA靶点预测

头颈部鳞状细胞癌基因调控

XLSX file - 137K, Supplementary Table 7. has-mir-21 gene target prediction (miRanda). Supplementary Table 8. has-mir-21 gene target prediction (TargetScan 4.2). Supplementary Table 9. has-mir-21 gene

NIAID Data Ecosystem20

Category-wise feature selection ratio for TargetMiner and MultiMiTar.

资源简介：

相关数据集