Automated supervised learning pipeline for non-targeted GC-MS data analysis
Non-targeted analysis is nowadays applied in many different domains of analytical chemistry such as metabolomics, environmental and food analysis. Conventional processing strategies for GC-MS data include baseline correction, feature detection, and retention time alignment before multivariate modeli...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-03-01
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| Series: | Analytica Chimica Acta: X |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590134619300015 |