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Heat map and principal component analysis
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Extracted transcript reads were normalized to the area and uploaded to ClustVis, a web tool for visualizing clustering of multivariate data using heat maps and principal component analysis (https://biit.cs.ut.ee/clustvis/)61. The heat map used linear expression data and is row-centered, and unit variance scaling (the SD was used as the scaling factor) was performed for rows. ClustVis calculates principal components using one of the methods in the pcaMethods R package and plots heatmaps using heat map R package (version 0.7.7).
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