Supporting Information
Supporting Information File 1: Evaluation of the deep neural network model against two different techniques based on decision trees: Random forest (RF) and XGBoost (XGB). | ||
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Cite the Following Article
GlAIcomics: a deep neural network classifier for spectroscopy-augmented mass spectrometric glycans data
Thomas Barillot, Baptiste Schindler, Baptiste Moge, Elisa Fadda, Franck Lépine and Isabelle Compagnon
Beilstein J. Org. Chem. 2023, 19, 1825–1831.
https://doi.org/10.3762/bjoc.19.134
How to Cite
Barillot, T.; Schindler, B.; Moge, B.; Fadda, E.; Lépine, F.; Compagnon, I. Beilstein J. Org. Chem. 2023, 19, 1825–1831. doi:10.3762/bjoc.19.134
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