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large decrease » marked decrease (Expand Search), large increases (Expand Search), large degree (Expand Search)
ari values » ani values (Expand Search), i values (Expand Search), auc values (Expand Search)
arl values » all values (Expand Search), auc values (Expand Search), cr values (Expand Search)
ai large » a large (Expand Search), via large (Expand Search), _ large (Expand Search)
i large » _ large (Expand Search), a large (Expand Search), via large (Expand Search)
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Image 4_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tif
Published 2025“…Co-expression modules were then identified in the SD and stroke datasets by weighted gene co-expression network analysis (WGCNA), respectively, and machine learning algorithms (RandomForest, LASSO, and XGBoost) were performed to identify ARL2 as a key diagnostic biomarker with high predictive value (AUC = 0.91). …”
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Image 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff
Published 2025“…Co-expression modules were then identified in the SD and stroke datasets by weighted gene co-expression network analysis (WGCNA), respectively, and machine learning algorithms (RandomForest, LASSO, and XGBoost) were performed to identify ARL2 as a key diagnostic biomarker with high predictive value (AUC = 0.91). …”
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103
Data Sheet 2_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.csv
Published 2025“…Co-expression modules were then identified in the SD and stroke datasets by weighted gene co-expression network analysis (WGCNA), respectively, and machine learning algorithms (RandomForest, LASSO, and XGBoost) were performed to identify ARL2 as a key diagnostic biomarker with high predictive value (AUC = 0.91). …”
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104
Image 3_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.tiff
Published 2025“…Co-expression modules were then identified in the SD and stroke datasets by weighted gene co-expression network analysis (WGCNA), respectively, and machine learning algorithms (RandomForest, LASSO, and XGBoost) were performed to identify ARL2 as a key diagnostic biomarker with high predictive value (AUC = 0.91). …”
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105
Data Sheet 1_Exploring common circulating diagnostic biomarkers for sleep disorders and stroke based on machine learning.csv
Published 2025“…Co-expression modules were then identified in the SD and stroke datasets by weighted gene co-expression network analysis (WGCNA), respectively, and machine learning algorithms (RandomForest, LASSO, and XGBoost) were performed to identify ARL2 as a key diagnostic biomarker with high predictive value (AUC = 0.91). …”
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Total history dependence decreases for small time bins Δ<i>t</i>.
Published 2021“…<p>The choice of the time bin Δ<i>t</i> of the spiking activity has little effect on the information timescale <i>τ</i><sub><i>R</i></sub>, whereas the total history dependence <i>R</i><sub>tot</sub> decreases for small time bins Δ<i>t</i> < 5ms. …”
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Ribosomal subunit pathways are decreased in <i>Resf1</i> knockdown cells.
Published 2024“…<p>(A) GO Pathway analysis snapshots of various ribosomal subunit pathways that are decreased in 6DT1 <i>Resf1</i> KD cells. (B) The GO Cytosolic Ribosome pathway had many (C) small and large ribosomal proteins decreased in <i>Resf1</i> KD cells. …”
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