بدائل البحث:
larger decrease » marked decrease (توسيع البحث)
teer decrease » greater decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
teer decrease » greater decrease (توسيع البحث)
we decrease » _ decrease (توسيع البحث), a decrease (توسيع البحث), nn decrease (توسيع البحث)
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Neutrophil Superoxide anion production, Heat map for gene expression from neutrophils of CGD patients, and PCA plot for genome-wide gene expression.
منشور في 2025"…Bars and brackets represent mean ± SEM with the number of patients studied below. …"
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2505
S1 File -
منشور في 2025"…Additionally, the significance of extracellular NO on GSIS was studied. …"
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2506
Relationships between clay and quartz content, TOC, 2D-NMR solid OM, S<sub>1</sub>, 2D-NMR light oil and fractal dimensions.
منشور في 2024"…This results in the formation of larger dissolution pores within the carbonated minerals [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0309346#pone.0309346.ref043" target="_blank">43</a>], leading to a decrease in the fractal dimensions D<sub>1</sub> and D<sub>2</sub>. …"
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2509
Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML
منشور في 2025"…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. …"
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2518
Serum metabolomic response to aging.
منشور في 2024"…<b>(B)</b> Metabolites that decreased with aging. Statistical significance is indicated in the heatmap with asterisks. …"
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2519
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2520