NeatMS is an open source python package for untargeted LCMS signal labelling and filtering. NeatMS enables automated filtering of false positive MS1 peaks reported by commonly used LCMS data processing pipelines. NeatMS relies on neural network based classification. NeatMS is distributed as an open source software under the MIT License.
Reference & publication
Publication is currently pending, please use NeatMS github repository as reference when citing NeatMS.
The source code and related materials (e.g. tutorials, example data, neural network model) are available at https://github.com/bihealth/NeatMS.
Copyright (c) 2020 Berlin Institute of Health
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