Deep learning-based pseudo-mass spectrometry imaging analysis for precision medicine.
Brief Bioinform
; 23(5)2022 09 20.
Article
in En
| MEDLINE
| ID: mdl-35947990
ABSTRACT
Liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics provides systematic profiling of metabolic. Yet, its applications in precision medicine (disease diagnosis) have been limited by several challenges, including metabolite identification, information loss and low reproducibility. Here, we present the deep-learning-based Pseudo-Mass Spectrometry Imaging (deepPseudoMSI) project (https//www.deeppseudomsi.org/), which converts LC-MS raw data to pseudo-MS images and then processes them by deep learning for precision medicine, such as disease diagnosis. Extensive tests based on real data demonstrated the superiority of deepPseudoMSI over traditional approaches and the capacity of our method to achieve an accurate individualized diagnosis. Our framework lays the foundation for future metabolic-based precision medicine.
Key words
Full text:
1
Database:
MEDLINE
Main subject:
Deep Learning
Type of study:
Prognostic_studies
Language:
En
Journal:
Brief Bioinform
Journal subject:
BIOLOGIA
/
INFORMATICA MEDICA
Year:
2022
Type:
Article
Affiliation country:
United States