Encoding LC–MS-Based Untargeted Metabolomics Data into Images toward AI-Based Clinical Diagnosis-Reference-Cited by-同舟云学术

Encoding LC–MS-Based Untargeted Metabolomics Data into Images toward AI-Based Clinical Diagnosis

Published:2023-04-12 Issue:16 Volume:95 Page:6533-6541
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Wang Hongmiao¹²,Yin Yandong¹,Zhu Zheng-Jiang¹³^ORCID

Affiliation:

1. Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Shanghai Key Laboratory of Aging Studies, Shanghai 201210, China

Funder

Ministry of Science and Technology of the People's Republic of China

Science and Technology Commission of Shanghai Municipality

National Natural Science Foundation of China

Shanghai Key Laboratory of Aging Studies

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c05079

Reference36 articles.

1. Metabolomics: beyond biomarkers and towards mechanisms

2. Metabolic analysis as a driver for discovery, diagnosis, and therapy

3. Metabolomics and Metabolic Diseases: Where Do We Stand?

4. A Cardiovascular Disease-Linked Gut Microbial Metabolite Acts via Adrenergic Receptors

5. Development and validation of a ceramide- and phospholipid-based cardiovascular risk estimation score for coronary artery disease patients

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