A presence/absence matrix of either TIPs (left) or TAPs, (right) was used as input to calculate PCA. This result recapitulates the clustering pattern observed with the SNP-PCA. (TIF)</p
A. Result of a principal component analysis obtained from a set of high quality biallelic SNPs witho...
<p>Each spot represents an individual sample tested in this study and clustered according to the abu...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
<p>(A) PCA showing the first (X-axis) and second (Y-axis) eigenvectors plotting all 3,252 study part...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>Plotted are the first eigen-vector versus second eigen-vector for Broad samples. Eigen-vectors ar...
A) PCA carried out on full dataset. B) standard deviations of first 10 PCs indicate that the first P...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>A – African-American by Subject. Clustering by Subject can be observed. B – Caucasian by Subject....
Principal component analysis (PCA) of Homo sapiens (A–C) and Mus musculus (D–F). (A, D) and (B, E) d...
<p><b>A.</b> Principal Components Analysis (PCA) based on the selected Th1 signature. The projection...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
A. Result of a principal component analysis obtained from a set of high quality biallelic SNPs witho...
<p>Each spot represents an individual sample tested in this study and clustered according to the abu...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
<p>(A) PCA showing the first (X-axis) and second (Y-axis) eigenvectors plotting all 3,252 study part...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
Each symbol represents an individual. (a) Shows the population structure of investigated major regio...
<p>Plotted are the first eigen-vector versus second eigen-vector for Broad samples. Eigen-vectors ar...
A) PCA carried out on full dataset. B) standard deviations of first 10 PCs indicate that the first P...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>A – African-American by Subject. Clustering by Subject can be observed. B – Caucasian by Subject....
Principal component analysis (PCA) of Homo sapiens (A–C) and Mus musculus (D–F). (A, D) and (B, E) d...
<p><b>A.</b> Principal Components Analysis (PCA) based on the selected Th1 signature. The projection...
<p>Scatter plot of individuals, showing the first two principal components. Each symbol corresponds ...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
A. Result of a principal component analysis obtained from a set of high quality biallelic SNPs witho...
<p>Each spot represents an individual sample tested in this study and clustered according to the abu...
<p>Each PCA vector represents a specific combination of the 1656 chemical descriptors. The three mos...
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