Showing 1 - 20 results of 35,006 for search '(((( 69 a decrease ) OR ( _ web decrease ))) OR ( 50 ((ms decrease) OR (_ decrease)) ))*', query time: 0.59s Refine Results
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    SLE decreases risk for hormonal cancers. by Deborah K. Johnson (10001156)

    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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    Bcl-xL protein levels were decreased in response to siRNA transfection in A549, SK-LU1 and NP-69 cells. by Norahayu Othman (495150)

    Published 2013
    “…(<b>B</b>) Densitometry analysis of Western blot bands using the ImageJ Analyst software indicating a 92.47±0.72% reduction in Bcl-xL protein levels in A549 cells, a 98.33±0.50% reduction in SK-LU1 cells, and a 96.16±2.28% in NP-69 cells 48 h post-transfection with siRNA 1. …”
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    DART-ID decreases missing datapoints across runs. by Albert Tian Chen (6900215)

    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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    The prevalence of hypertension, diabetes, metabolic syndrome, cardiovascular disease and decreased GFR according to the following age groups: 60–69, 70–79 and ≥80 years. by Regina C. R. M. Abdulkader (302450)

    Published 2017
    “…None: absence of hypertension, diabetes, metabolic syndrome or cardiovascular disease. Decreased GFR defined as GFR <60 mL/min/1.73 m<sup>2</sup>.…”
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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). by Tingting Liu (267387)

    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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