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Principal-component analysis (PCA) that was used to obtain a simplified visualization of entire datasets.
A) Principal-component analysis (PCA) that was used to obtain a simplified visualization of entire datasets.
PCA is a useful linear approach to obtain a simplified visualization of entire datasets, without losing experimental information (variance).
In Figure 1, a simplified visualization of the mTOR pathway and its regulating pathways is depicted, representing a typical network related to oncogenesis.
For a simplified visualization, down-regulated transcripts with a ratio smaller than 1 were transformed by dividing '−1' by the Cy3/Cy5-ratio.
This feature has reduced computational time and simplified visualization.
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Plotting the incline in combination with cell size created informative simplified visualizations of our cross sections.
Figure 2 depicts a simplified graph visualization modelling the knowledge about a specific substance.
Sadeghpour et al. (2006) utilized computer-aided tools to analyze the appropriate location of the facilities, and simplified 2D visualization tools to analyze their geometric relationships.
Figure 12 shows a simplified quantitative visualization in three different views of a segmented lung surface from a CT scan of a rabbit overlaid onto the segmented significant uptake regions from PET images.
However, for the current version, we selected one representative model per locus based on the information available from rice genome annotation project (RGAP) database (Ouyang et al. 2007) that could provide a simplified and comprehensive visualization of the integrated data.
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