Search alternatives:
point decrease » point increase (Expand Search)
ms decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
we decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
_ decrease » _ decreased (Expand Search)
30 point » 3d point (Expand Search), 50 points (Expand Search), _ point (Expand Search)
50 ms » 500 ms (Expand Search), 50 mg (Expand Search), 50 mm (Expand Search)
point decrease » point increase (Expand Search)
ms decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
we decrease » a decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
_ decrease » _ decreased (Expand Search)
30 point » 3d point (Expand Search), 50 points (Expand Search), _ point (Expand Search)
50 ms » 500 ms (Expand Search), 50 mg (Expand Search), 50 mm (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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Decreased cell stiffness after dissociation of intercellular adhesion.
Published 2014“…Cell stiffness was measured before and after the nanorobotic surgery and decreases from 30.0±1.5 kPa to 20.5±2.8 kPa, respectively. …”
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SLE decreases risk for hormonal cancers.
Published 2021“…(b) Prostate cancer incidence in male SLE cohort is significantly decreased by SLE status (OR 0.23, 95% CI 0.089, 0.50, p = 0.0053).…”
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Root cell wall proteins with significant decreased in expression level under 50 µM Cu treatment identified by LC-ESI-MS/MS-based proteomics using SIEVE (<i>p</i><0.05 and fold chang >1.5).
Published 2014“…</p><p>Root cell wall proteins with significant decreased in expression level under 50 µM Cu treatment identified by LC-ESI-MS/MS-based proteomics using SIEVE (<i>p</i><0.05 and fold chang >1.5).…”
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