<p>Principal component analysis of immune parameters showing the proportion of variation explained by each principal component axis (PCA1-6).</p
<p>(A) Biplots of PCA of seven observations which predicted to the space defined by the first and se...
Principal components with its eigenvalues and percentage variances towards the total population vari...
<p>Unsupervised principal component analysis of the signal intensity for samples from PV patients an...
<b>Summary information of Principal Component Analysis for the jejunal immune response.</b> a) Propo...
<p>Figure (A) shows the variance of each of the principal component scores amongst the 90 patients s...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<b>Summary information of Principal Component Analysis for the abomasal immune response.</b> a) Prop...
<p>The first four components obtained from a PCA analysis of 31 immunological factors measured in va...
<p>A. Histogram of eigenvalues. The eigenvalues, which corresponds to the amount of variance account...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<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>(A) Percent variance explained by each of the six principal components. (B) Variable correlation ...
<p><b>A</b> Pareto plot of the percentage of the variance explained by each principal component (bla...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>(A) Biplots of PCA of seven observations which predicted to the space defined by the first and se...
Principal components with its eigenvalues and percentage variances towards the total population vari...
<p>Unsupervised principal component analysis of the signal intensity for samples from PV patients an...
<b>Summary information of Principal Component Analysis for the jejunal immune response.</b> a) Propo...
<p>Figure (A) shows the variance of each of the principal component scores amongst the 90 patients s...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<b>Summary information of Principal Component Analysis for the abomasal immune response.</b> a) Prop...
<p>The first four components obtained from a PCA analysis of 31 immunological factors measured in va...
<p>A. Histogram of eigenvalues. The eigenvalues, which corresponds to the amount of variance account...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<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>(A) Percent variance explained by each of the six principal components. (B) Variable correlation ...
<p><b>A</b> Pareto plot of the percentage of the variance explained by each principal component (bla...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>(A) Biplots of PCA of seven observations which predicted to the space defined by the first and se...
Principal components with its eigenvalues and percentage variances towards the total population vari...
<p>Unsupervised principal component analysis of the signal intensity for samples from PV patients an...
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