Principal component analysis (PCA) using ZIKV and DENV serological assays as explanatory variables.</p
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
Syndicat de L’Industrie du Diagnostic In Vitro (SIDV) Background: Principal component analysis (PCA)...
Principal component analysis (PCA) for individual compounds and selected springtail species.</p
<p>Principal Component Analysis (PCA) of the honey samples using the absolute value variables per sa...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
<p>Blue dots are CRC samples with CRP <30 and purple dots are samples with CRP >30. The PCA was perf...
<p>Principal Component Analyses (PCA) including IRI, ProQoL, TAS-20, ALT subscales.</p
<p>(A) Correlation loadings plot from principal component analysis showing the Mixolab and SDSS test...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Principal component analysis of immune parameters showing the proportion of variation explained b...
PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables ...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>Score plots of the two principal components (PC) after principal component analysis (PCA) of vola...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
Syndicat de L’Industrie du Diagnostic In Vitro (SIDV) Background: Principal component analysis (PCA)...
Principal component analysis (PCA) for individual compounds and selected springtail species.</p
<p>Principal Component Analysis (PCA) of the honey samples using the absolute value variables per sa...
Principal components analysis (PCA) is a multivariate ordination technique used to display patterns ...
<p>Principal component analysis (PCA) scores plot from low, intermediate and high MEE groups.</p
<p>Blue dots are CRC samples with CRP <30 and purple dots are samples with CRP >30. The PCA was perf...
<p>Principal Component Analyses (PCA) including IRI, ProQoL, TAS-20, ALT subscales.</p
<p>(A) Correlation loadings plot from principal component analysis showing the Mixolab and SDSS test...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>Principal components analysis (PCA) of three factors and of one factor. Matrix of items.</p
<p>Principal component analysis of immune parameters showing the proportion of variation explained b...
PCA (Principal Component Analysis ) are statistical techniques applied to a single set of variables ...
<p>A: all individuals from Stage I and HapMap; B: breast cancer cases and controls from Stage I.</p
<p>Score plots of the two principal components (PC) after principal component analysis (PCA) of vola...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
Syndicat de L’Industrie du Diagnostic In Vitro (SIDV) Background: Principal component analysis (PCA)...
Principal component analysis (PCA) for individual compounds and selected springtail species.</p