SHAP dependence plots with interaction coloring. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Screening process diagram. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

SHAP waterfall plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

SHAP decision plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

LASSO regression visualization plot. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Overall analysis of randomized controlled trials. by Solima Sabeel (9545738)

“…Notably, atorvastatin demonstrated the most significant reduction in IL-6 and TNF-α levels, while fluvastatin and rosuvastatin displayed the greatest impact on decreasing CRP and LDL-C levels, respectively. …”

SHAP dependence plots. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Tertile stratified subgroup analysis. by Wentao Yang (205781)

“…</p><p>Methods</p><p>Using National Health and Nutrition Examination Survey (NHANES) 2005–2010 data, we analyzed glucose disposal and frailty associations. …”

Newcastle-Ottawa scale. by Solima Sabeel (9545738)

“…Notably, atorvastatin demonstrated the most significant reduction in IL-6 and TNF-α levels, while fluvastatin and rosuvastatin displayed the greatest impact on decreasing CRP and LDL-C levels, respectively. …”

Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression. by Daniel R. Ambruso (12042605)

“…In contrast, results for subjects 08 and 09 demonstrate greater effects than the remainder of the patients in the cohort.…”

S1 File - by Ingmar Lundquist (46422)

“…Additionally, the significance of extracellular NO on GSIS was studied. …”

Trends in spatial beta diversity over time. by Zoë J. Kitchel (21688386)

“…A lack of significant trend is shown in blue. The average linear trend across surveys (black line with 95% confidence interval in gray) is also plotted from a linear mixed effect model with a random slope and intercept for survey. …”

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML by Ayush Garg (21090944)

“…The important findings of our studies are as follows: (i) there is no effect of threshold optimization on ranking metrics such as AUC and AUPR, but AUC and AUPR get affected by class-weighting and SMOTTomek; (ii) for ML methods RF and SVM, significant percentage improvement up to 375, 33.33, and 450 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy, which are suitable for performance evaluation of imbalanced data sets; (iii) for AutoML libraries AutoGluon-Tabular and H2O AutoML, significant percentage improvement up to 383.33, 37.25, and 533.33 over all the data sets can be achieved, respectively, for F1 score, MCC, and balanced accuracy; (iv) the general pattern of percentage improvement in balanced accuracy is that the percentage improvement increases when the class ratio is systematically decreased from 0.5 to 0.1; in the case of F1 score and MCC, maximum improvement is achieved at the class ratio of 0.3; (v) for both ML and AutoML with balancing, it is observed that any individual class-balancing technique does not outperform all other methods on a significantly higher number of data sets based on F1 score; (vi) the three external balancing techniques combined outperformed the internal balancing methods of the ML and AutoML; (vii) AutoML tools perform as good as the ML models and in some cases perform even better for handling imbalanced classification when applied with imbalance handling techniques. …”

Changes in rumen fluid metabolites. by Shiqi Zhang (709298)

Data file without outliers. by Helena Wallin (6103205)

“…At follow-up, the increase in KYN and KYN/TRP was related to a decrease in ExCap in CKD 2–3. After adjusting for GFR, increase in KYN/TRP remained an independent significant predictor of a decline in ExCap in CKD 2–3.…”

The Fig illustrates the effects of mutations on the stability, flexibility, compactness, and interactions of the AKT2-Ipatasertib complex through molecular dynamics simulations. by Sadia Afrin Runa (22504971)

Participants’ Mean Blood Glucose. by Giti Azim (20940548)

“…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”

Participants’ Mean Total Cholesterol. by Giti Azim (20940548)

“…Moreover, multivariate analysis using multiple linear regression indicates the same result; however, the results of marital status and gender are not significant with BG level and results of education levels, salt intake and any type of physical activity are not significant with TC levels. …”

The atrium and ventricle exhibit different tissue dynamics during morphogenesis. by Juliana Sánchez-Posada (20636677)

Gene expression omnibus datasets. by Xinyi Xia (7516694)

“…<div><p>Although the link between ischemia-reperfusion injury (IRI) and T cell-mediated rejection (TCMR) in kidney transplantation (KT) is well known, the mechanism remains unclear. We investigated essential genes and biological processes involved in interactions between IRI and TCMR. …”