Here is the implementation of the filterFeatures function with different quality assessment methods. I also wrote the method so that they can handle both XcmsResult objects and SummarisedExperiment objects.
@jorainer I have updated the PercentMissingFilter so that now it filters based on the different sample types using factor.
I tried to make the documentation comprehensive but don't hesitate to tell me if something is not clear or not explained in enough details for the users.
These different classes/methods are based on the quality assessment function from MetaboCoreUtils. So some information can also be found in this package.
Here is the implementation of the
filterFeatures
function with different quality assessment methods. I also wrote the method so that they can handle bothXcmsResult
objects andSummarisedExperiment
objects.@jorainer I have updated the
PercentMissingFilter
so that now it filters based on the different sample types usingfactor
.I tried to make the documentation comprehensive but don't hesitate to tell me if something is not clear or not explained in enough details for the users.
These different classes/methods are based on the quality assessment function from MetaboCoreUtils. So some information can also be found in this package.
Thanks in advance for the feedback !