Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE)-Reference-Cited by-同舟云学术

Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE)

Published:2015 Issue:13 Volume:140 Page:4521-4529
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Kuligowski Julia¹²³⁴,Pérez-Guaita David⁵⁶⁷⁴,Sánchez-Illana Ángel¹²³⁴,León-González Zacarías⁸²³⁴,de la Guardia Miguel⁵⁶⁷⁴,Vento Máximo¹²³⁴⁹,Lock Eric F.¹⁰¹¹¹²¹³,Quintás Guillermo⁸²³⁴¹⁴

Affiliation:

1. Neonatal Research Centre

2. Health Research Institute La Fe

3. Valencia

4. Spain

5. Department of Analytical Chemistry

6. University of Valencia

7. Burjasot

8. Analytical Unit

9. Division of Neonatology

10. Division of Biostatistics

11. University of Minnesota

12. Minneapolis

13. USA

14. Bio In Vitro Division

Abstract

Joint and Individual Variation Explained (JIVE) is used for the integrated unsupervised analysis of metabolomic profiles from multiple data sources.

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2015/AN/C5AN00706B

Reference39 articles.

1. 'Metabonomics': understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data

2. Modern analytical techniques in metabolomics analysis

3. Multiple metabolomics of uropathogenic E. coli reveal different information content in terms of metabolic potential compared to virulence factors

4. The effect of anticancer drugs on seven cell lines monitored by FTIR spectroscopy

5. Metabolic fingerprinting in disease diagnosis: biomedical applications of infrared and Raman spectroscopy

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel multivariate curve resolution based strategy for multi-omic integration of toxicological data;Chemometrics and Intelligent Laboratory Systems;2023-11

2. Transforming growth factor β3 deficiency promotes defective lipid metabolism and fibrosis in murine kidney;Disease Models & Mechanisms;2021-09-01

3. Multi-platform integration based on NIR and UV–Vis spectroscopies for the geographical traceability of the fruits of Amomum tsao-ko;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2021-09

4. Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancer;BMC Bioinformatics;2021-08-05

5. Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach;Medicinal Research Reviews;2021-08-04