<p>Note the differences in variability explained by the two axes (approx. 88% and 3% respectively).</p
<p>Plotting of two principal axes in principal component analysis showed the variation among 21 bact...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>Principal component analysis based on the 40 differentially expressed candidate genes demonstrate...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>Percent of variance on the first three axes from principal component analyses by user for each la...
<p>Principal component analysis of immune parameters showing the proportion of variation explained b...
Scatterplot illustrates the grouping of 21 populations by the first two principal components of the ...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>Principal component (PC) analysis of the variation of autosomal SNPs in Western Balkan population...
<p>(a) Variation explained by Principal Components. We retain the first four Principal Components wh...
<p>Plotting of two principal axes in principal component analysis showed the variation among 21 bact...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
<p>A. PCoA was based on the correlation matrix of allele frequencies at 12 loci. The first and secon...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>Principal component analysis based on the 40 differentially expressed candidate genes demonstrate...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
Principal component 1 (PC1) in horizontal axis and PC2 in vertical axis explain 37% and 15% of varia...
<p>Percent of variance on the first three axes from principal component analyses by user for each la...
<p>Principal component analysis of immune parameters showing the proportion of variation explained b...
Scatterplot illustrates the grouping of 21 populations by the first two principal components of the ...
Variance is primarily due to classic A-T phenotype (PC1). Red- Classic A-T phenotype (n = 3) and Blu...
<p>Principal component (PC) analysis of the variation of autosomal SNPs in Western Balkan population...
<p>(a) Variation explained by Principal Components. We retain the first four Principal Components wh...
<p>Plotting of two principal axes in principal component analysis showed the variation among 21 bact...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
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