G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics
Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment algorithms to observe the intensity variations across runs....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05525-4 |