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During feature extraction, some peaks located at either end of bins can get split because of how binning works. Intensity is lower than it should be.
BinneR gives a quality control metrics, "centrality", that can help mitigate this issue. If two neighbor bins have low centrality and assigned m/z values that are very close, then they should be merged: drop one on the two values, and sum the intensity.
The text was updated successfully, but these errors were encountered:
During feature extraction, some peaks located at either end of bins can get split because of how binning works. Intensity is lower than it should be.
BinneR gives a quality control metrics, "centrality", that can help mitigate this issue. If two neighbor bins have low centrality and assigned m/z values that are very close, then they should be merged: drop one on the two values, and sum the intensity.
The text was updated successfully, but these errors were encountered: