Identifying Significant Metabolic Pathways Using Multi-Block Partial Least-Squares Analysis-Reference-Cited by-同舟云学术

Identifying Significant Metabolic Pathways Using Multi-Block Partial Least-Squares Analysis

Published:2020-03-16 Issue:5 Volume:19 Page:1965-1974
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Deng Lingli¹,Guo Fanjing²,Cheng Kian-Kai³,Zhu Jiangjiang⁴^ORCID,Gu Haiwei⁴^ORCID,Raftery Daniel⁴^ORCID,Dong Jiyang²^ORCID

Affiliation:

1. Department of Information Engineering, East China University of Technology, Nanchang 330013, China

2. Department of Electronic Science, Xiamen University, Xiamen 361005, China

3. Innovation Centre in Agritechnology, Universiti Teknologi Malaysia, 84600 Muar, Johor, Malaysia

4. Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington 98109, United States

Funder

Universiti Teknologi Malaysia

University of Washington

Education Department of Jiangxi Province

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.9b00793

Reference36 articles.

1. Deciphering the metabolic perturbation in hepatic alveolar echinococcosis: a 1H NMR-based metabolomics study

2. High-throughput metabolic profiling, combined with chemometrics and bioinformatic analysis reveals functional alterations in myocardial dysfunction

3. Metabolomics Analysis in Serum from Patients with Colorectal Polyp and Colorectal Cancer by 1H-NMR Spectrometry

4. MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

5. Enrichment or depletion of a GO category within a class of genes: which test?

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