Showing 621 - 640 results of 80,538 for search '(( 10 ((nm decrease) OR (we decrease)) ) OR ( 50 ((a decrease) OR (mean decrease)) ))', query time: 0.72s Refine Results
  1. 621

    Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma by Zhihao Liu (419349)

    Published 2024
    “…In our previous study, we have identified a series of type I PRMT inhibitors, among which ZL-28-6 (<b>6</b>) exhibited increased activity against CARM1 while displaying decreased potency against other type I PRMTs. …”
  2. 622

    Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma by Zhihao Liu (419349)

    Published 2024
    “…In our previous study, we have identified a series of type I PRMT inhibitors, among which ZL-28-6 (<b>6</b>) exhibited increased activity against CARM1 while displaying decreased potency against other type I PRMTs. …”
  3. 623

    Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma by Zhihao Liu (419349)

    Published 2024
    “…In our previous study, we have identified a series of type I PRMT inhibitors, among which ZL-28-6 (<b>6</b>) exhibited increased activity against CARM1 while displaying decreased potency against other type I PRMTs. …”
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  11. 631

    Paeameter ranges and optimal values. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  12. 632

    Improved random forest algorithm. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  13. 633

    Datasets used in the study area. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  14. 634

    Evaluation of the improved random forest model. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  15. 635

    Comparison of model metrics. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  16. 636

    Flowchart of population spatialization. by Zhen Zhao (159931)

    Published 2025
    “…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
  17. 637

    Methodology. by Scott John (228011)

    Published 2024
    “…Upon binding of lactate YFP and CFP move farther apart, the intensity of YFP fluorescence decreases while that of CFP increases. This leads to a decrease in the YFP/CFP FRET ratio. …”
  18. 638

    Sensitivity analysis of 50:50 model. by Rachael Miller Neilan (10678614)

    Published 2021
    “…<p>A sensitivity analysis was conducted on the 50:50 model with constant 120 pA current to determine the sensitivity of pain output to select model parameters before injury (t = 10), during injury (t = 105), and after injury (t = 240). …”
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