Search alternatives:
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
models based » model based (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
significant models » significant degs (Expand Search), significant burdens (Expand Search), significant genes (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
models based » model based (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
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Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 following storage at 9°C or 20°C of infective juveniles of <i>S</i>....
Published 2022“…<p>Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 following storage at 9°C or 20°C of infective juveniles of <i>S</i>. …”
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Temporal profiles of the key BO-NN features.
Published 2020“…The shifts associated with non-significant prediction accuracies are greyed-out. <b>(c)</b> The results of the MDS for the key BO-NN features. …”
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The ten most significant features of the Random Forest model based on classification accuracy.
Published 2024Subjects: -
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Cortical mapping of the fraction of significant voxels for other dimensions of fastText vectors.
Published 2021“…<p>The mean fraction of significant voxels in each brain region for fastText vector-based models was mapped onto the cortical surface (<b>A</b>, vector dimension = 100; <b>B</b>, 300; <b>C</b>, 500; <b>D</b>, 2000). …”
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