Showing 1,281 - 1,300 results of 118,670 for search '(( i mean decrease ) OR ( 5 ((((step decrease) OR (we decrease))) OR (a decrease)) ))', query time: 1.63s Refine Results
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    Decreased MBP levels in the brain in <i>Large</i><sup><i>myd/myd</i></sup> mice. by Shigefumi Morioka (8893511)

    Published 2020
    “…The results are presented as the mean of at least three experiments. <b>B,</b> Whole-brain lysates of P7 control and <i>Large</i><sup><i>myd/myd</i></sup> mice (<i>n</i> = 5) were obtained for MBP immunoblotting. …”
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    A long-term "memory" of HIF induction in response to chronic mild decreased oxygen after oxygen normalization-1 by Chandrashekhar D Kamat (60176)

    Published 2011
    “…</p><p>Published online 18 Jan 2007</p><p>PMCID:PMC1783864.</p><p></p>y a one hour incubation with 5 μM CFDA-AM and fluorescence measurement as in methods. …”
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    TGFβ1 expression was increased, and RASAL1 expression was decreased in NTM cells in response to a hypoxic environment. by Fiona McDonnell (2636635)

    Published 2016
    “…A 0hr Control was set to 100%, and the normoxic and hypoxic results were presented as a percentage of this; Normoxic = 95.5%, Hypoxic = 159.4% (P<0.01). n = 3 *P<0.05, **P<0.01. …”
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    Reduction of SIRT1 during DNA damage decreases the number of silent clones that have methylation. by Heather M. O'Hagan (271283)

    Published 2008
    “…(B) A dot plot of the mean number of CpGs methylated per HSVTK silenced clone from either un-siRNA treated cells (untreated) (<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1000155#pgen-1000155-g005" target="_blank">Figure 5D & E</a>), non-target siRNA treated cells (NT), or SIRT1 siRNA treated cells (SIRT1). …”
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    Mean decrease accuracy plots and variable importance plots for the random forest classification process of clusters 1 and 2 in study regions North and South (<i>F</i>.... by Andreas W. Oehm (12015558)

    Published 2022
    “…<p>A: study region North. B: study region South. The mean decrease accuracy plot expresses how much accuracy the model loses by excluding each variable. …”
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