Tab-delimited text file containing the cqn normalized and log2 transformed gene expression counts (using the conditional quantile normalization method) for 14,289 genes in 13 virginia opossum individuals. This normalized-transformed counts were used as input for the principal component analysis (PCA)
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
In analysis of bioinformatics data, a unique challenge arises from the high dimensionality of measur...
Tab-delimited text file containing the cqn normalized and log2 transformed gene expression counts (u...
Tab-delimited text file containing the cqn normalized and log2 transformed counts (using the conditi...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
Tab-delimited text file containing the results of the principal component analysis (PCA). It shows t...
A matrix with the input data (normalized gene counts) for the PCA that is presented in the paper. Co...
A matrix with the input data (normalized gene counts) for the PCA that is presented in the paper. Co...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>The gene list of 3679 genes for the principal component analysis was generated by combining all d...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
Tab-delimited text file with phenotypic trait measurements fro 13 Virginia opossum specimens that wa...
Tab-delimited text file with phenotypic trait measurements fro 13 Virginia opossum specimens that wa...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
In analysis of bioinformatics data, a unique challenge arises from the high dimensionality of measur...
Tab-delimited text file containing the cqn normalized and log2 transformed gene expression counts (u...
Tab-delimited text file containing the cqn normalized and log2 transformed counts (using the conditi...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
Tab-delimited text file containing the results of the principal component analysis (PCA). It shows t...
A matrix with the input data (normalized gene counts) for the PCA that is presented in the paper. Co...
A matrix with the input data (normalized gene counts) for the PCA that is presented in the paper. Co...
PCA of the quantile normalized dataset consisting of 32 mouse uterine RNA samples. The colours repre...
<p>(A) Bootstrap analysis of regularized-log transformed counts to assign confidence levels to sampl...
<p>The gene list of 3679 genes for the principal component analysis was generated by combining all d...
The PCA is based on the 30 samples from the discovery set and 98 CEU controls extracted from the 100...
Tab-delimited text file with phenotypic trait measurements fro 13 Virginia opossum specimens that wa...
Tab-delimited text file with phenotypic trait measurements fro 13 Virginia opossum specimens that wa...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>(A) PCA of 1,444 GBS-derived SNPs without missing data in any of the accessions. (B) PCA of six p...
In analysis of bioinformatics data, a unique challenge arises from the high dimensionality of measur...
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