3 significant factor(s) explain 78% of variance.

48 samples • 24,460 genes • 4 factors

Sample Clustering (PCA) Interactive
Principal component analysis showing how samples relate to each other
X:
PC1
Y:
PC2
Color:
Treatment
Shape:
None
48 samples
-40 -20 0 20 40 60 PC1 (42.1%) -20 -10 0 10 20 PC2 (22.0%)
Control
Treated
Variance Attribution (PERMANOVA) Interactive
How much variance each experimental factor explains
4 factors 78% explained
Sort:
R² (variance)
Main Effects Only
0% 25% 50% 75% 100% Variance Explained (R²) Tissue Treatment Timepoint Batch Residual 42.1% *** 22.0% *** 14.2% ** 3.8% 17.9%
Strong (R² > 30%)
Moderate (10-30%)
Small (< 10%)
Not significant
Residual
*** p < 0.001    ** p < 0.01    * p < 0.05