Search alternatives:
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant classes » significant clusters (Expand Search), significant changes (Expand Search), significant cause (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Most significant annotation class for benchmark vs. other genes.
Published 2020“…<p>Most significant single-annotation test (x-axis) for genes with one or more gene-based p-value ≤ 5e-6. …”
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OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS.
Published 2024“…<p>OS correlation of differentially expressed miRNAs (> 2-fold increase or decrease in HCC vs normal livers), according to KMP; miRNAs in bold are significantly correlated with OS.…”
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Target classes of THC.
Published 2024“…This study also revealed a notable sequential reduction in serum levels of tumour markers, including carcinoembryonic antigen (CEA) and mouse Cytochrome P450 1A2 (CYP1A2), correlating with a significant decrease in tumour bulk volume upon treatment commencement. …”
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Proportions of participants in each latent class based on the 4-class LCA model.
Published 2025Subjects: -
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PCA-CGAN K-fold experiment table.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”