When should I use Data editor or Data filter?

These two functions are designed to allow users to manipulate their data to obtain more consistent and reliable results. In particular,

  • Use Data Editor - Edit Samples to exclude outlier samples (must have strong reasons);
  • Use Data Editor - Edit Groups to exclude certain groups during comparative analysis. For instance, to perform two-group comparisons for multi-group dataset;
  • Use Data Editor - Edit Features to manually exclude certain features based on some visual inspection;
  • Use Data Filter to automatically exclude noisy or uninformative features based on some statistical measures (i.e. baseline noises, near-constant-features). These features tend to dilute the signal and decrease the performance of most the statistical procedures.

We strongly recommend this post on data editing