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massLens
massLens is a deep leaning tool to accurately capture the intensity of small molecules (metabolites) of Mass Spectrometry data. Any experiment that involves organic molecules likely uses a mass spectrometer, can be messy and requires manual curation and interpretation.
Resources for more information on the technical aspects:
Citation:
Avi Swartz, Allen Ross, Ali Rahnavard, "Mass spectrometry signal quantification using supervised deep learning".
Features:
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Can start with raw data from mass spectrometer or mzml format
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Trained models are available with instruction to be used
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Below is an example of the actual start and end of metabolites (red) and model predictions (green).

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