<p>Partial Least Squares-Discriminant Analysis (PLS-DA) score plot and loadings S plot for (A,B) SER, (C,D) ADC, and (E,F) SUV of all cases.</p
(A, B) PCA score plot. (C, D) sPLS-DA score plots in POS and NEG ion mode, respectively.</p
<p>PCA-DA (MarkerView) and PLS-DA (MetaboAnalyst) score plots of discriminant analysis. Group labels...
<p>Misclassification rates for Least Discriminant Analysis (LDA) models based on Principle Component...
<p>The loading plot is complementary to the score plot and summarizes how the X-variables relate to ...
<p>A: PC1 and PC2 score plot of the first two principal components describing 13.6% (PC1) and 10.6% ...
<p>PLS-DA scores plot (A) loading plot (B) of kidney tissue from (*) control, (▴) CKD and (♦) CKD + ...
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
Partial least squares (PLS) approach is proposed for linear discriminant analysis (LDA) when predict...
<p><b>A)</b> Scores plot obtained from OPLS-DA model of T1 and T2 in positive ionization mode shows ...
<p>Each dot represents a patient. The two axes–i.e., scores t[<a href="http://www.plosone.org/articl...
<p>Partial Least Squares is used to create a linear regression model to accurately discriminate betw...
<p>Principal component analysis (PCA) score plot between the low and high MEE groups.</p
Compositional data is commonly present in many disciplines. Nevertheless, it is often improperly inc...
Partial least squares regression on functional data is applied in thecontext of linear discriminant ...
(A, B) PCA score plot. (C, D) sPLS-DA score plots in POS and NEG ion mode, respectively.</p
<p>PCA-DA (MarkerView) and PLS-DA (MetaboAnalyst) score plots of discriminant analysis. Group labels...
<p>Misclassification rates for Least Discriminant Analysis (LDA) models based on Principle Component...
<p>The loading plot is complementary to the score plot and summarizes how the X-variables relate to ...
<p>A: PC1 and PC2 score plot of the first two principal components describing 13.6% (PC1) and 10.6% ...
<p>PLS-DA scores plot (A) loading plot (B) of kidney tissue from (*) control, (▴) CKD and (♦) CKD + ...
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>The scores plot generated from principal component analysis (PCA) of all the analytes (A) and the...
Partial least squares (PLS) approach is proposed for linear discriminant analysis (LDA) when predict...
<p><b>A)</b> Scores plot obtained from OPLS-DA model of T1 and T2 in positive ionization mode shows ...
<p>Each dot represents a patient. The two axes–i.e., scores t[<a href="http://www.plosone.org/articl...
<p>Partial Least Squares is used to create a linear regression model to accurately discriminate betw...
<p>Principal component analysis (PCA) score plot between the low and high MEE groups.</p
Compositional data is commonly present in many disciplines. Nevertheless, it is often improperly inc...
Partial least squares regression on functional data is applied in thecontext of linear discriminant ...
(A, B) PCA score plot. (C, D) sPLS-DA score plots in POS and NEG ion mode, respectively.</p
<p>PCA-DA (MarkerView) and PLS-DA (MetaboAnalyst) score plots of discriminant analysis. Group labels...
<p>Misclassification rates for Least Discriminant Analysis (LDA) models based on Principle Component...