PCA–principal component analysis; DAPC–discriminant analysis of the principal components. M_ch–M. chevalieri; M_dx–M. dux; M_fe–M. felicinum; M_ma–M. macrobrachion; M_so–M. sollaudii; M_sp–M. sp; M_vo–M. vollenhovenii.</p
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
PCA–principal component analysis; DAPC–discriminant analysis of principal components. M_ch–M. cheval...
PCA plot obtained from a full set of 1,814 SNPs (A), 174 private SNPs (B) and 72 ‘private SNPs 80’ (...
<p>(A) PCA of individual experimental samples in NC47. (B) PCA of 69 differentially accumulated prot...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>Principal component analysis (PCA) was used to reduce the dimension of the tertiary dataset compr...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
PCA–principal component analysis; DAPC–discriminant analysis of principal components. M_ch–M. cheval...
PCA plot obtained from a full set of 1,814 SNPs (A), 174 private SNPs (B) and 72 ‘private SNPs 80’ (...
<p>(A) PCA of individual experimental samples in NC47. (B) PCA of 69 differentially accumulated prot...
<p>(A) scatter plot shows genetic patterns of SNP data. The scree plots of eigenvalues (inset) indic...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>Samples are grouped according to their affiliation at the sPCA-identified groups (NWI; SEI; SAR; ...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>Principal component analysis (PCA) was used to reduce the dimension of the tertiary dataset compr...
<p>Principal component analysis (PCA) plot showing the grouping of the almond accessions.</p
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...