Showing 1 - 20 results of 34,751 for search '(( 50 ((ms decrease) OR (_ decrease)) ) OR ((( 10 re decrease ) OR ( _ web decrease ))))*', query time: 0.63s Refine Results
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    The decrease or inhibition of Hsp90 induced REST degradation. by Raúl Orozco-Díaz (7067624)

    Published 2019
    “…(D) The level of REST dramatically reduced in differentiated SH-SY5Y cells treated with GA (1 μM) or PU-H71 (50 nM) at 24 h. (E) The REST level decreased by GA more than 50% and (F) PU-H71 more than 80%, respectively. …”
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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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    MTT assay results: Concentrations of red raspberry seed oil or red raspberry seed oil with the addition of RE/ FE extract applied in the form of nanoemulsions that induced 50% decrease in the cell survival (IC50). by Ana Gledovic (8720091)

    Published 2020
    “…<p>MTT assay results: Concentrations of red raspberry seed oil or red raspberry seed oil with the addition of RE/ FE extract applied in the form of nanoemulsions that induced 50% decrease in the cell survival (IC50).</p>…”
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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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    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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