saezlab / MetaProViz

R-package to perform metabolomics pre-processing, differential metabolite analysis, metabolite clustering and custom visualisations.
https://saezlab.github.io/MetaProViz/
GNU General Public License v3.0
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CoRe=TRUE, some changes required #44

Closed ChristinaSchmidt1 closed 1 year ago

ChristinaSchmidt1 commented 1 year ago
  1. Ignore blank samples for feature filtering per condition, cause if a feature is removed due to blank whereusually a metabolite is a true 0, this would be wrong.

  2. Remove blank from DF after substraction has been done!

@dprymidis maybe you can change this when you work on the MVI per feature anyways?

dprymidis commented 1 year ago

Yeup

dprymidis commented 1 year ago

Done.