Relative variable importance for each species distribution model using an increase in AUC values (ΔAUC). by Wanmo Kang (14271530)

CD5-2 decreases established CCM lesions in the hindbrain of <i>Ccm2</i>^<i>ECKO</i> mice and lesions in the retina of <i>Ccm2</i>^<i>ECKO</i> mice. by Jia Li (160557)

Generalizable improvement of QOL measures on day 7 vs. infusion day. by Jordan K. Abbott (8934239)

Subjects:

Comparison of ROC AUC and PR AUC with existing models. by Guodong He (3770947)

Comparison of ROC AUC and PR AUC with deep learning algorithms. by Guodong He (3770947)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Marking example. by Qingjun Yu (1649473)

ComBat normalization markedly increases cross-study prediction when the studies have batch effects when using LASSO classifiers. by Yilin Gao (4335571)

ComBat normalization markedly increases cross-study prediction when the studies have batch effects when using XGBoost classifiers. by Yilin Gao (4335571)

The proportion of lake area which exhibited decreases (blue bars) versus increases (green bars) in chl-a for the largest 18 lakes in the world. by Benjamin M. Kraemer (7526225)

ComBat normalization markedly increases cross-study prediction when the training and test data have different feature distribution with XGBoost classifiers. by Yilin Gao (4335571)

Predictive performance (AUC) of the UK Biobank PRS Release disease traits by ancestries. by Deborah J. Thompson (12410706)

ComBat normalization markedly increases cross-study prediction when the training and test data have varying degrees of overlap in disease-associated OTUs. by Yilin Gao (4335571)

Deletion of <i>sagA</i> alone results in a decrease in nasopharyngeal infection. by Blake A. Shannon (14197601)

Treatment with low doses of GI254023X causes a mild decrease in ADAM10 surface expression that correlates with a marked impairment of HCV infectivity. by Belén Carriquí-Madroñal (17396512)

STI predictive models’ AUC values. by Owen Mugurungi (230623)

“…The results show that MLP performed better than STI predictive models (XGBoost and ExtraTrees) and achieved accuracy of 87.54%, recall of 97.29%, precision of 89.64%, F1-Score of 93.31% and AUC of 66.78%. XGBoost also achieved an accuracy of 86.51%, recall of 96.51%, precision of 89.25%, F1-Score of 92.74% and AUC of 54.83%. …”

Map of Pakistan with marked Punjab province. by Sumaira Sumaira (21453523)

Schematic figure of a left ventricular pressure-volume loop with cardiovascular hemodynamics marked. by Björn Östenson (15447383)

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

Evolution of the average median AUC scores per dataset, on the validation and test sets, at increasing levels of variable selection, for taxonomic and functional (SoFA) profiles. by Baptiste Ruiz (20285217)