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CORRECTION article

Front. Mol. Biosci., 10 March 2023
Sec. Metabolomics
Volume 10 - 2023 | https://doi.org/10.3389/fmolb.2023.1165720

Corrigendum: KODAMA exploratory analysis in metabolic phenotyping

www.frontiersin.orgMaria Mgella Zinga1,2 www.frontiersin.orgEbtesam A. Abdel-Shafy1,3 www.frontiersin.orgTadele Melak4,5 www.frontiersin.orgAlessia Vignoli6,7 www.frontiersin.orgSilvano Piazza4 www.frontiersin.orgLuiz Fernando Zerbini8 www.frontiersin.orgLeonardo Tenori6,7 www.frontiersin.orgStefano Cacciatore1,9*
  • 1Bioinformatics Unit, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa
  • 2Department of Medical Parasitology and Entomology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania
  • 3National Research Centre, Cairo, Egypt
  • 4Computation Biology, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
  • 5Department of clinical chemistry, University of Gondar, Gondar, Ethiopia
  • 6Magnetic Resonance Center (CERM) and Department of Chemistry “Ugo Schiff”, University of Florence, Sesto Fiorentino, Italy
  • 7Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
  • 8Cancer Genomics, International Centre for Genetic Engineering and Biotechnology, Cape Town, South Africa
  • 9Institute of Reproductive and Developmental Biology, Imperial College London, London, United Kingdom

A Corrigendum on
KODAMA exploratory analysis in metabolic phenotyping

by Zinga MM, Abdel-Shafy E, Melak T, Vignoli A, Piazza S, Zerbini LF, Tenori L and Cacciatore S (2023). Front. Mol. Biosci. 9:1070394. doi: 10.3389/fmolb.2022.1070394

In the published article, there was an error in Affiliations of Leonardo Tenori. Instead of “5,6”, it should be “6,7”.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: KODAMA, unsupervised, semi-supervised, metabolomics, clustering

Citation: Zinga MM, Abdel-Shafy EA, Melak T, Vignoli A, Piazza S, Zerbini LF, Tenori L and Cacciatore S (2023) Corrigendum: KODAMA exploratory analysis in metabolic phenotyping. Front. Mol. Biosci. 10:1165720. doi: 10.3389/fmolb.2023.1165720

Received: 14 February 2023; Accepted: 15 February 2023;
Published: 10 March 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Zinga, Abdel-Shafy, Melak, Vignoli, Piazza, Zerbini, Tenori and Cacciatore. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Stefano Cacciatore, stefano.cacciatore@icgeb.org

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