Your new experience awaits. Try the new design now and help us make it even better

CORRECTION article

Front. Syst. Biol., 23 October 2025

Sec. Data and Model Integration

Volume 5 - 2025 | https://doi.org/10.3389/fsysb.2025.1717030

Correction: A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

This article is a correction to:

  1. A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

    1. Read original article
Francesco Canonaco, &#x;Francesco Canonaco1,2*†Joverlyn Gaudillo&#x;Joverlyn Gaudillo1†Nicole AstrologoNicole Astrologo1Fabio StellaFabio Stella2Enzo AcerbiEnzo Acerbi1
  • 1Minutia.AI Pte. Ltd., Singapore, Singapore
  • 2Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy

A Correction on
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools

by Canonaco F, Gaudillo J, Astrologo N, Stella F and Acerbi E (2025). Front. Syst. Biol. 5:1631901. doi: 10.3389/fsysb.2025.1631901

The conflict of interest statement was erroneously given as “Authors FC, JG, NA, and EA were employed by Minutia.AI Pte. Ltd.” The correct conflict of interest statement is “Authors FC, JG and NA were employed by Minutia.AI Pte. Ltd. EA has equity and is an advisor to Minutia.AI Pte. Ltd.”

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: structure learning, parameter learning, causal discovery algorithms, causal discovery, bayesian networks (BNs)

Citation: Canonaco F, Gaudillo J, Astrologo N, Stella F and Acerbi E (2025) Correction: A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools. Front. Syst. Biol. 5:1717030. doi: 10.3389/fsysb.2025.1717030

Received: 01 October 2025; Accepted: 10 October 2025;
Published: 23 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Canonaco, Gaudillo, Astrologo, Stella and Acerbi. 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: Francesco Canonaco, ZnJhbmNlc2NvLmNhbm9uYWNvQG1pbnV0aWEuYWk=

†These authors have contributed equally to this work and share first authorship

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.