Dataset Information
Performance evaluation of DeepRTAlign using 293T-E.coli mixture datasets
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens Escherichia Coli
SUBMITTER: 
Cheng Chang
PROVIDER: PXD044222 | iProX | Mon Jul 31 00:00:00 BST 2023
REPOSITORIES: iProX
Publications
DeepRTAlign: toward accurate retention time alignment for large cohort mass spectrometry data analysis.
Nature communications 20231211 1
Retention time (RT) alignment is a crucial step in liquid chromatography-mass spectrometry (LC-MS)-based proteomic and metabolomic experiments, especially for large cohort studies. The most popular alignment tools are based on warping function method and direct matching method. However, existing tools can hardly handle monotonic and non-monotonic RT shifts simultaneously. Here, we develop a deep learning-based RT alignment tool, DeepRTAlign, for large cohort LC-MS data analysis. DeepRTAlign has ...[more]
