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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

  • 1. Minutia.AI Pte. Ltd., Singapore, Singapore

  • 2. Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milano, Italy

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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.

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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.

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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

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Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

5 - 2025

Updates

Copyright

*Correspondence: Francesco Canonaco,

†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.

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