PCA Overview: The expression data is log₂(x+1) transformed prior to Principal Component Analysis. This stabilizes variance and prevents genes with extremely high expression from dominating the principal components.
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K-means Cluster Overview
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Detailed View
Drag to select an area on the thumbnail to zoom in.
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Cluster Expression Trends
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Genes are ranked by standard deviations across samples based on the log₂-transformed data.
By showing the patterns of the genes with most variability, this gives us a big picture view of the general pattern of gene expression.