Year: 2025
Type: dataset
Abstract: Provides methods for the processing of liquid chromatography-mass spectrometry (LC/MS) based metabolomics data, including adaptive tolerance level searching, non-parametric intensity grouping, the use of run filter to preserve weak signals, model-based estimation of peak intensities, and peak detection based on existing knowledge. Related references include Yu et al. (2009) <doi:10.1093/bioinformatics/btp291>, Liu et al. (2020) <doi:10.1038/s41598-020-70850-0>, Yu et al. (2014) <doi:10.1093/bioinformatics/btu430>, Yu et al. (2013) <doi:10.1021/pr301053d>.
Author: Tianwei Yu
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4413332488