Search alternatives:
wt decrease » we decrease (Expand Search), nn decrease (Expand Search), awd decreased (Expand Search)
ms decrease » nn decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
_ decrease » _ decreased (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
5 wt » _ wt (Expand Search), 5 ht (Expand Search)
wt decrease » we decrease (Expand Search), nn decrease (Expand Search), awd decreased (Expand Search)
ms decrease » nn decrease (Expand Search), mean decrease (Expand Search), use decreased (Expand Search)
_ decrease » _ decreased (Expand Search)
a decrease » _ decreased (Expand Search), _ decreases (Expand Search)
5 wt » _ wt (Expand Search), 5 ht (Expand Search)
-
1
SLE decreases risk for hormonal cancers.
Published 2021“…An OR to the left of the solid line represents a reduction in risk. (a) Breast cancer incidence in female SLE cohort is significantly decreased by SLE status (OR 0.52, 95% CI 0.35, 0.74, p = 0.0036). …”
-
2
-
3
DART-ID decreases missing datapoints across runs.
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. …”
-
4
-
5
-
6
-
7
Repetitive stress induces a decrease in sound-evoked activity.
Published 2025“…Marked at time = 0 is the onset of the 100-ms white noise. (f) A second group of mice followed the same procedures but without experiencing daily restraint stress (<i>N</i> = 3 mice, <i>n</i> = 123 neurons). …”
-
8
-
9
PNs, ORNs and LNs response to a short (50 ms) pulse, similar results of Fig 4.
Published 2021Subjects: -
10
-
11
-
12
-
13
-
14
Variable importance plot (mean decrease accuracy and mean decrease Gini).
Published 2020“…The higher the value of mean decrease accuracy or mean decrease Gini score, the higher the importance of the variable in the model.…”
-
15
-
16
-
17
-
18
-
19
-
20