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(1) PCA projection: Face images are projected into the PCA subspace by throwing away the components corresponding to zero eigenvalue.
Fig. 1 PCA analysis of athlete metabolomics data.
Fig. 1 PCA score plot of soil properties and AMF community structure for the five studied sites.
Difference of mode 1 PCA synthetized maps between night and noon for the adjacent Otkhotsk region using monthly average during high solar activity.
Difference of mode 1 PCA synthetized maps between night and noon for the adjacent Otkhotsk region using monthly average during low solar activity.
Based on both pieces of information, the number of principal components in the group 1 PCA was determined to be 4.
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Figure 1 PCA-DFVS.
Fig. 4 PCA. a Cumulative energy contained in PCA coefficients.
We evaluated expression levels of miR-1 and miR-133a in PCa (n=15) and non-PCa (n=17) tissues.
Figure 2 PCA analysis.
Figure 5 PCA for latency.
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