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point decrease » point increase (Expand Search)
ms decrease » _ decrease (Expand Search), nn decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 mean » _ mean (Expand Search), a mean (Expand Search), i mean (Expand Search)
point decrease » point increase (Expand Search)
ms decrease » _ decrease (Expand Search), nn decrease (Expand Search), use decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 mean » _ mean (Expand Search), a mean (Expand Search), i mean (Expand Search)
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DART-ID decreases missing datapoints across runs.
Published 2019“…Only peptides seen in >50% of experiments are included. (<b>b</b>) Decrease in missing data across all runs after applying DART-ID, for SCoPE-MS and the two bulk sets from <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1007082#pcbi.1007082.g004" target="_blank">Fig 4</a> at 1% FDR. …”
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Repetitive stress induces a decrease in sound-evoked activity.
Published 2025“…<p>(a) Left: noise-evoked activity rates at different noise intensities for chronically tracked PPys cells in baseline and repeated stress conditions (<i>N</i> = 5 mice, <i>n</i> = 285 neurons, mean ± SE). …”
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PI+ CD3+ T cells decrease at day 14 after IR while PI+ CD3- cells decrease at all time points.
Published 2024Subjects: -
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SLE decreases risk for hormonal cancers.
Published 2021“…An OR to the left of the solid line represents a reduction in risk. (a) Breast cancer incidence in female SLE cohort is significantly decreased by SLE status (OR 0.52, 95% CI 0.35, 0.74, p = 0.0036). …”
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Pro- and anti-inflammatory cytokines are significantly decreased at acute time points following IR.
Published 2024Subjects: -
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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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