<p>Principle component analysis of gene expression profiles of different treatments and populations of origin.</p
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal component analysis (PCA) using gene expression measurements from 592 genes selected bas...
<p>The PCA plot was computed using the differentially expressed gene list (FDR<0.05, log2FC>0.6 filt...
The PCA plot constructed for some genes with the AlignStatPlot package based on the findings of the ...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal component analysis (PCA) using gene expression measurements from 592 genes selected bas...
<p>The PCA plot was computed using the differentially expressed gene list (FDR<0.05, log2FC>0.6 filt...
The PCA plot constructed for some genes with the AlignStatPlot package based on the findings of the ...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with t...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
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