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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:

User manual:

Workshop tutorial:

Forum:

Citation:

 Avi Swartz, Allen Ross, Ali Rahnavard, "Mass spectrometry signal quantification using supervised deep learning".

Features:

  • Can start with raw data from mass spectrometer or mzml format

  • Trained models are available with instruction to be used​

  • Below is an example of the actual start and end of metabolites (red) and model predictions (green).

example.png
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