بدائل البحث:
significant component » significant amount (توسيع البحث)
component models » complex models (توسيع البحث), competing models (توسيع البحث), component scores (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
inter decrease » water decreases (توسيع البحث), teer decrease (توسيع البحث), step decrease (توسيع البحث)
significant component » significant amount (توسيع البحث)
component models » complex models (توسيع البحث), competing models (توسيع البحث), component scores (توسيع البحث)
linear decrease » linear increase (توسيع البحث)
inter decrease » water decreases (توسيع البحث), teer decrease (توسيع البحث), step decrease (توسيع البحث)
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AUROC Graphs of RF Model and ResNet.
منشور في 2025"…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …"
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The principal component analysis (PCA) of the QSAR model predictors in the training set.
منشور في 2023الموضوعات: -
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DataSheet1_Significance of cuproptosis- related genes in the diagnosis and classification of psoriasis.PDF
منشور في 2023"…The biological roles of CRGs were identified by GO and KEGG enrichment analyses, and the candidates of cuproptosis-related regulators were selected from a nomogram model. The consensus clustering approach was used to classify psoriasis into clusters and the principal component analysis algorithms were constructed to calculate the cuproptosis score. …"
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DataSheet2_Significance of cuproptosis- related genes in the diagnosis and classification of psoriasis.PDF
منشور في 2023"…The biological roles of CRGs were identified by GO and KEGG enrichment analyses, and the candidates of cuproptosis-related regulators were selected from a nomogram model. The consensus clustering approach was used to classify psoriasis into clusters and the principal component analysis algorithms were constructed to calculate the cuproptosis score. …"