Gas Chromatographic Retention Index Prediction Using Multimodal Machine Learning

Gas Chromatographic Retention Index Prediction Using Multimodal Machine Learning

Gas chromatography is a widely used method in analytical chemistry and metabolomics. Using gas chromatography, vaporizable compounds can be separated for their further identification. Retention indices are standardized values that depend only on a chemical structure of a compound and on a stationary...

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Bibliographic Details
Main Authors: Dmitriy D. Matyushin, Aleksey K. Buryak
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Analytical chemistry
convolutional neural network
deep learning
gas chromatography
gradient boosting
residual neural network
Online Access:https://ieeexplore.ieee.org/document/9294096/

Internet

https://ieeexplore.ieee.org/document/9294096/

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