Search alternatives:
significant component » significant amount (Expand Search)
component increases » content increases (Expand Search), component includes (Expand Search), complexity increases (Expand Search)
point decrease » point increase (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
significant component » significant amount (Expand Search)
component increases » content increases (Expand Search), component includes (Expand Search), complexity increases (Expand Search)
point decrease » point increase (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
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Significant cholesterol genes arranged by day.
Published 2024“…Each point represents a gene. The Fold Change plotted on the X-axis is the SFC. …”
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Cox regression models for adverse cardiovascular events (ACE) and individual components of ACE.
Published 2024Subjects: -
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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). …”
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PCAECG-GAN 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). …”
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Summary map of all contacts with statistically significant SVM classifications.
Published 2024“…Yellow reflects high classification accuracy, while dark blue represents less robust classification accuracy. Time-frequency points with no significant classification value are white.…”
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MiR-129-5p levels were decreased in mouse depression models.
Published 2025“…The Y-axis represents the fold change, while the X-axis indicates the significance of differential expression. …”
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