Search alternatives:
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
inter based » water based (Expand Search), internet based (Expand Search), interest based (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant inter » significant interest (Expand Search), significant inverse (Expand Search), significant anti (Expand Search)
fold decrease » fold increase (Expand Search), fold increased (Expand Search)
inter based » water based (Expand Search), internet based (Expand Search), interest based (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
-
41
-
42
-
43
-
44
-
45
Histological studies of lungs stained with Cy3-coupled anti-sphingosine antibodies.
Published 2022Subjects: -
46
-
47
Histological studies of lungs stained with Cy3-coupled anti-ceramide antibodies.
Published 2022Subjects: -
48
-
49
-
50
-
51
Depletion of ATRX in fibroblasts decreases the efficiency of viral genome packaging.
Published 2024“…<b>J)</b> Data from panel I for the percent packaged is calculated by the ratio of resistant DNA to total. <b>K)</b> Fold decrease is calculated as the negative fold change of percent packaged DNA between DMSO and Letermovir treatment. …”
-
52
-
53
-
54
-
55
-
56
MiR-129-5p levels were decreased in mouse depression models.
Published 2025“…The Y-axis represents the fold change, while the X-axis indicates the significance of differential expression. …”
-
57
PCA-CGAN K-fold experiment table.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
-
58
PCAECG-GAN K-fold experiment table.
Published 2025“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”
-
59
-
60