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.