<p>PCA of the number of structural variations found per chromosome per breed.</p
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>principal-component analysis for population stratification in three sheep breeds.</p
<p>A. PCA based on 123,591 polymorphic sites in 12 western lowland gorillas and two eastern lowland ...
<p>Below is the plot of the contribution of each haplogroup to the first and second PC (projections ...
Based on a genomic relationship matrix, eigenvalues were calculated and the first two components use...
<p>Principal component analysis (PCA) performed on a table of standardised allele frequencies based ...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
<p>Of the 18 principal components identified in the current dataset, the first six had Eigenvalues o...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
During the last few years the idea of predicting quantitative traits and diseases based on genotypic...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
Principal component analysis (PCA) for individual compounds and selected springtail species.</p
Abstract Principal Components Analysis (PCA) is a common way to study the sources of variation in a ...
<p>Of the 11 principal components identified in the current dataset, the first five had Eigenvalues ...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>principal-component analysis for population stratification in three sheep breeds.</p
<p>A. PCA based on 123,591 polymorphic sites in 12 western lowland gorillas and two eastern lowland ...
<p>Below is the plot of the contribution of each haplogroup to the first and second PC (projections ...
Based on a genomic relationship matrix, eigenvalues were calculated and the first two components use...
<p>Principal component analysis (PCA) performed on a table of standardised allele frequencies based ...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
<p>Of the 18 principal components identified in the current dataset, the first six had Eigenvalues o...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
During the last few years the idea of predicting quantitative traits and diseases based on genotypic...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
Principal component analysis (PCA) for individual compounds and selected springtail species.</p
Abstract Principal Components Analysis (PCA) is a common way to study the sources of variation in a ...
<p>Of the 11 principal components identified in the current dataset, the first five had Eigenvalues ...
<p>a) Graphic plot of the principal component analysis of 183 maize inbred lines, calculated from ~3...
<p>principal-component analysis for population stratification in three sheep breeds.</p
<p>A. PCA based on 123,591 polymorphic sites in 12 western lowland gorillas and two eastern lowland ...
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