Search alternatives:
significant processes » significant progress (Expand Search), significant promise (Expand Search), significant increases (Expand Search)
processes decrease » progressive decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
better decrease » teer decrease (Expand Search), between decreased (Expand Search)
significant processes » significant progress (Expand Search), significant promise (Expand Search), significant increases (Expand Search)
processes decrease » progressive decrease (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
better decrease » teer decrease (Expand Search), between decreased (Expand Search)
-
1
-
2
-
3
-
4
-
5
Top 10 significant functional annotations of up-regulated DEGs.
Published 2025“…Functional annotations are ordered by decreasing significance, with color indicating significance according to the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”
-
6
Top 10 significant functional annotations of down-regulated DEGs.
Published 2025“…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”
-
7
-
8
-
9
The principal component analysis (PCA) plot utilized in the quality assurance process.
Published 2025Subjects: -
10
-
11
Summary map of all contacts with statistically significant SVM classifications.
Published 2024“…<p>The top row presents the proportion of significant SVM clusters. It illustrates what proportions of channels are significant at that time-frequency ranging from 0 to 1. …”
-
12
-
13
-
14
-
15
-
16
DARTS algorithm process.
Published 2025“…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”
-
17
-
18
-
19
-
20
DARTS-VAN model unit search process.
Published 2025“…In the testing on the ImageNet dataset, the classification accuracy of the research model is 94.01, the search parameter required is only 4.8MB, the search time is shortened to 0.5d, and the minimum number of floating-point operations is 3.7G, significantly better than other mainstream algorithms. …”