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We explored beta diversity patterns by performing principle coordinate analyses (PCoA) with phylogeny-based (UniFrac) unweighted distances.
In Figure 3, we observed clear separation of control (0 and 6 hours) and F3-treated (6 and 24 hours) samples after performing principle component analysis on the gene expression profiles measured by microarray experiments.
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We performed principle component analysis on both the sediment proxies and the soil geochemical properties to identify different sediment endmembers that reflect different types of soil horizons, mainly stagnic and spodic.
In the last step, we extract patches from reference frames along the motion trajectories, and perform Principle Component Analysis (PCA) to generate dictionaries that code the patches with various local structures.
We performed principle components analysis (PCA) to calculate additional variables that describe overall size (PC 1) and shape (PC 2).
Qlucore Omics Explorer (v3.0) was used to perform principle component analysis (PCA).
Qlucore Omics Explorer 2.3 software (Qlucore, Sweden, Lund) was used to perform principle component analysis.
Then we performed principle component analysis on those 359 genes and chose the first p principle components.
We also performed principle coordinate analysis using the difference between the tumor and normal abundances for each taxon.
Second, the expression level (given in count per million, cpm) of the 4 differentially expressed miRNAs was used to perform Principle Component Analysis (PCA).
In order to evaluate the accuracy of CNV calls, we initially used the CNVs detected across all 97 individuals and performed principle component analysis.
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