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CORRECTION article

Front. Bioeng. Biotechnol., 31 March 2023
Sec. Cell and Gene Therapy
Volume 11 - 2023 | https://doi.org/10.3389/fbioe.2023.1182500

Corrigendum: A guide to conquer the biological network era using graph theory

This article is a correction to:

  1. A Guide to Conquer the Biological Network Era Using Graph Theory

    1. Read original article
Mikaela Koutrouli&#x;Mikaela Koutrouli1†Evangelos Karatzas,&#x;Evangelos Karatzas1,2†David Paez-EspinoDavid Paez-Espino3Georgios A. Pavlopoulos Georgios A. Pavlopoulos1*
  • 1Institute for Fundamental Biomedical Research, BSRC “Alexander Fleming”, Vari, Greece
  • 2Department of Informatics and Telecommunications, University of Athens, Athens, Greece
  • 3Lawrence Berkeley National Laboratory, Department of Energy, Joint Genome Institute, Walnut Creek, CA, United States

A Corrigendum on
A guide to conquer the biological network era using graph theory

by Koutrouli M, Karatzas E, Paez-Espino D and Pavlopoulos GA (2020). Front. Bioeng. Biotechnol. 8:34. doi: 10.3389/fbioe.2020.00034

In the published article, there was an error in Figure 14 as published. The numbers in row V4 of the matrix in Figure 14A were inserted incorrectly. The corrected Figure 14 and its caption appear below.

FIGURE 14
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FIGURE 14. A triangle closing link prediction example. (A) The adjacency matrix of the undirected, unweighted example network. (B) The algebraic representation of the A2 matrix. Each (i,j) value represents the number of common neighbors of the nodes i and j. (C) The example network plot. The red edge represents the new predicted link in time point t + 1.

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: biological networks, topology, graph theory, visualization, clustering

Citation: Koutrouli M, Karatzas E, Paez-Espino D and Pavlopoulos GA (2023) Corrigendum: A guide to conquer the biological network era using graph theory. Front. Bioeng. Biotechnol. 11:1182500. doi: 10.3389/fbioe.2023.1182500

Received: 08 March 2023; Accepted: 20 March 2023;
Published: 31 March 2023.

Edited and reviewed by:

Alfredo Pulvirenti, University of Catania, Italy

Copyright © 2023 Koutrouli, Karatzas, Paez-Espino and Pavlopoulos. 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: Georgios A. Pavlopoulos, pavlopoulos@fleming.gr

†These authors have contributed equally to this work

Disclaimer: 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.