DOE OSTI · code-159459
ChemEcho v1.0
Abstract
ChemEcho is a tool that converts tandem mass spectra into embeddings used to build machine learning (ML) models with fully explainable predictions. It provides an API for transforming raw tandem mass spectral data into embeddings, along with functions for training and validating ML models. Additionally, it includes utilities for retrieving and cleaning training data. ChemEcho is broadly applicable in ML pipelines that use tandem mass spectra for a variety of tasks, such as chemical classification or bioactivity mining. While there are existing methods to generate embeddings from fragmentation data, ChemEcho's approach ensures that predictions remain interpretable, enabling experts to evaluate results and generate hypotheses about the underlying data.
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Harwood, Thomas [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)], Bowen, Benjamin [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)]. 2025-04-16. ChemEcho v1.0. https://doi.org/10.11578/dc.20250729.5
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