Merging Technical Replicates:

This functional utility is used to process the estimation on the technical replicates with different mathematical models; Samples of the replicates should be formatted with underscore and integer, e.g. SampleA_1

  • Replicates values can be merged by estimating with simple arithmetic mean, minimum, maximum, medium, sum, or quantile.
  • When many replicates (at least 3) are provided, you can also smooth values based on kernel density estimation (Gaussian kernel, bandwidth 0.5) before merging
  • If a feature shows over 1/3 missing and its CV is > 1, the feature in the corresponding sample will be assigned as 0;
Choose

Data 1
This is an example from MetaboLights Database(ID: MTBLS664).