Search alternatives:
cm decrease » nn decrease (Expand Search), c decreased (Expand Search), we decrease (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
_ decrease » _ decreased (Expand Search)
5 cm » 5 mm (Expand Search), 5 c (Expand Search)
cm decrease » nn decrease (Expand Search), c decreased (Expand Search), we decrease (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
_ decrease » _ decreased (Expand Search)
5 cm » 5 mm (Expand Search), 5 c (Expand Search)
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CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).
Published 2024“…<p>CM-DWM-EC chart using 30% decrease in the mean for the E(KeV).…”
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Variable importance plot (mean decrease accuracy and mean decrease Gini).
Published 2020“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”
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<i>Kpna1</i> KO mice show decreased anxiety-like behavior in the elevated plus maze.
Published 2021Subjects: -
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Claudin V is decreased following infection with Mtb.
Published 2024“…Exposure to Mtb H37Rv and HN878 decreased claudin V expression compared to uninfected controls in the frontal cortex (E), cerebral nuclei (J), brain stem (O), thalamus (T), and hippocampus (Y). …”
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MMP-2 production is decreased following ALK5 inhibition.
Published 2020“…Data are represented as the mean ± SEM, with <i>n</i> = 3 biological replicates per condition. …”
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Mean decrease in accuracy (MDA) of top 15 urine metabolites.
Published 2020“…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”
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Image 5_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”
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