<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six phenotypic traits measured in two locations over three growing periods. In both PCA analyses, the two larger dots indicate the centroids and their confidence regions for the genebanks.</p
Manuscrit HAL : hal-00661214, version 1, 18/03/2011Background : Principal Components Analysis is a s...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
International audienceMany human traits are highly correlated. This correlation can be leveraged to ...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>The PCA was conducted separately using data for all sub-populations of the SolCAP germplasm (A) a...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>Principal component analysis (PCA) performed on a table of standardised allele frequencies based ...
Background : Principal Components Analysis is a standard and computationally efficient method to exp...
Background : Principal Components Analysis is a standard and computationally efficient method to exp...
<p>Principal component analysis (PCA) indicating the two different growth conditions (co-culture ver...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
Principal component analysis (PCA) performed with Tassel v5.2.15 on the SNP dataset including all sa...
Manuscrit HAL : hal-00661214, version 1, 18/03/2011Background : Principal Components Analysis is a s...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
International audienceMany human traits are highly correlated. This correlation can be leveraged to ...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>The PCA was conducted separately using data for all sub-populations of the SolCAP germplasm (A) a...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>Principal component analysis (PCA) performed on a table of standardised allele frequencies based ...
Background : Principal Components Analysis is a standard and computationally efficient method to exp...
Background : Principal Components Analysis is a standard and computationally efficient method to exp...
<p>Principal component analysis (PCA) indicating the two different growth conditions (co-culture ver...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
A to C show the results of the PCA based on the 2D plane corresponding to the first 2 axes. D to F s...
Principal component analysis (PCA) performed with Tassel v5.2.15 on the SNP dataset including all sa...
Manuscrit HAL : hal-00661214, version 1, 18/03/2011Background : Principal Components Analysis is a s...
<p>Bi-plots of the first two principal components F1 and F2. a) PCA including bi-plots based on agro...
International audienceMany human traits are highly correlated. This correlation can be leveraged to ...