Search alternatives:
nm decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
nm decrease » nn decrease (Expand Search), _ decrease (Expand Search), gy decreased (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
621
Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma
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. …”
-
622
Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma
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. …”
-
623
Development of (2-(Benzyloxy)phenyl)methanamine Derivatives as Potent and Selective Inhibitors of CARM1 for the Treatment of Melanoma
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. …”
-
624
-
625
-
626
-
627
-
628
-
629
-
630
-
631
Paeameter ranges and optimal values.
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. …”
-
632
Improved random forest algorithm.
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. …”
-
633
Datasets used in the study area.
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. …”
-
634
Evaluation of the improved random forest model.
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. …”
-
635
Comparison of model metrics.
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. …”
-
636
Flowchart of population spatialization.
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. …”
-
637
Methodology.
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. …”
-
638
Sensitivity analysis of 50:50 model.
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). …”
-
639
Projection of testing costs under different cost scenarios for medical supplies and personnel (USD).
Published 2023Subjects: -
640
Summary of resources per type of test and costs for Ag-RDT tests (USD 2020).
Published 2023Subjects: