Results on the trimmed datasets with a decreasing number of papers per author available for training and testing. by Leonard Bauersfeld (16475015)

Mean squared error of estimates decreases with larger datasets. by Alexander Eugene Zarebski (12078347)

The ROC curves for the four serum proteins with the highest AUC values. by Matilda Holm (5076659)

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)

Matrix crosslinking decreases cell migration persistence. by Michael Pamonag (12295175)

A noxious temperature decrease without a prior increase produces a subtly larger decrease in pain intensity. by Benedict J. Alter (9745466)

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

ComBat normalization markedly increases cross-study prediction when the training and test data have different disease models when using LASSO classifiers. by Yilin Gao (4335571)

ComBat normalization markedly increases cross-study prediction when the training and test data have different disease models when using SVM classifiers. by Yilin Gao (4335571)

Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

“…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”

Top features with an increased risk of overdose (Logistic regression). by David Warren (3408077)

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)

During electrical stimulation the decrease in compound action potential (CAP), but not of ATP, is larger in <i>Plp</i>^null/y mice. by Andrea Trevisiol (9647910)

The AUC values of different sampling methods in the cumulative sample size. by Xi Li (19208)

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

Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

<i>Tillandsia utriculata</i> death rate data by size class. by Alexandra M. Campbell (3284094)

Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

Largest twenty coefficients by absolute value as defined by logistic regression. by Roshan Karri (11060943)