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.
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.