Heatmaps and PCA
Master Metabolomics pairs statistical comparison with heatmaps, PCA, quality/completeness, and result summaries so scientists can review both individual molecules and broader patterns.
The heatmap view uses the current analysis result set and supports z-score style visual review across samples and groups.
This keeps pattern discovery connected to the same data cleanup, grouping, and thresholds used for the statistical comparison.
PCA and heatmap views help scientists inspect whether group labels, sample behavior, and molecular patterns make sense before exporting results.
After visual inspection, results and logs can be exported for collaboration, record keeping, or downstream review.
FAQ
The app supports heatmap row modes and ranking behavior tied to the current analysis results, including significant and top fold-change workflows.
Yes. Heatmaps and PCA are available as desktop tabs in the visual workflow.
Yes. The visual views remain connected to the selected groups and analysis result set.