Dataset Configuration:
Select the conditions and specific replicates you want to include in the downstream analysis.
Click the replicate count to expand and select individual samples.
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| Total Genes | 29273 |
| Total Samples | 21 |
Select Samples
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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.
K-means Cluster Overview
Detailed View
Drag to select an area on the thumbnail to zoom in.
K-means Expression Trends:
Expression patterns are summarized for each K-means cluster
based on the mean z-score
across conditions.
Trend classification follows the current condition order. For conditions without a natural sequence, classifications should be interpreted as descriptive patterns only.
Trend classification follows the current condition order. For conditions without a natural sequence, classifications should be interpreted as descriptive patterns only.
Trend Type
Selected Cluster Genes
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.