Joint and unique multiblock analysis of biological data – multiomics malaria study-Reference-Cited by-同舟云学术

Joint and unique multiblock analysis of biological data – multiomics malaria study

Published:2019 Issue: Volume:218 Page:268-283
ISSN:1359-6640
Container-title:Faraday Discussions
language:en
Short-container-title:Faraday Discuss.

Author:

Surowiec Izabella¹²³⁴⁵,Skotare Tomas¹²³⁴⁵^ORCID,Sjögren Rickard¹²³⁴⁵^ORCID,Gouveia-Figueira Sandra¹²³⁴⁵,Orikiiriza Judy⁶⁷⁸⁹¹⁰,Bergström Sven¹¹³⁴⁵^ORCID,Normark Johan¹¹³⁴⁵,Trygg Johan¹²³⁴⁵^ORCID

Affiliation:

1. Computational Life Science Cluster (CLiC)

2. Department of Chemistry

3. Umeå University

4. 901 87 Umeå

5. Sweden

6. Infectious Diseases Institute

7. College of Health Sciences

8. Makerere University

9. Kampala

10. Uganda

11. Department of Molecular Biology

Abstract

In this work we used Joint and Unique MultiBlock Analysis (JUMBA) for the integrated analysis of lipidomic, metabolomic and oxylipins data sets obtained from profiling of plasma samples from children infected with P. falciparum malaria.

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2019/FD/C8FD00243F

Reference37 articles.

1. Integrated omics approaches in plant systems biology

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