Sentence examples for pca analyzing from inspiring English sources

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Secondly, to compare results, we compute kernel PCA analyzing only FA levels.

We perform kernel PCA analyzing both dataset simultaneous and represent the sum of the expressions of the genes GSTpi2, CYP3A11 and CYP2c29.

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PCA analyzes the variance of variables and reorganizes it into a new set of uncorrelated independent components (principal components) equal to the number of original variables as linear combinations of the measured variables (Swan and Sandilands 1995).

On the other hand, the dimension reduction technique used in the first algorithm step, PCA, analyzes covariation across the entire data matrix.

HOXD3, another novel PCa methylation target, showed a distinct shift towards greater levels of methylation from PP3 to PP4 PCa when analyzing our CpG array results.

Firstly, we compute kernel PCA by analyzing only gene expression level data.

Continuing with the same nutrigenomic study, we compute kernel PCA by analyzing both datasets simultaneously; that is, gene expressions and FA concentrations.

In this study, we utilized Raman microspectroscopy in combination with principal component analysis (PCA) to analyze the molecular consequences of fibrillin-1 deficiency in skin of a mouse model (GT8) of Marfan syndrome.

We used principal component analysis (PCA) to analyze variation among the samples for DNA methylation and genotype data.

First, we performed principal component analysis (PCA) and analyzed associations between principal components and a variety of sample annotations (Figure S1 in File S2).

Given a list of such vectors, one can use Principal Component Analysis (PCA) to analyze clustering of genotypes.

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