Which features are available in the 3D scatter plot viewer?

The 3D scatter plot viewer provides more than mere data visualization, it also offers comprehensive analytics features to allow users to dissect their datasets.

  • Clustering analysis on sample space to identify inherent data structure and patterns of samples: K-means, peak cluster, mean shift.
  • Comparative analysis to identify differentially abundant features between groups or clusters of interest.
  • Targeted analysis to dissect meta-data group or cluster of interest.
  • Enrichment analysis to interpret the DE features in the context of current knowledge.