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Open Access

Correction

Correction: MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes

  • The PLOS One Staff

Notice of Republication

This article was republished on November 13, 2025, to correct an error in the title that was introduced during the typesetting process. The publisher apologizes for the errors. Please download this article again to view the correct version. The originally published, uncorrected article and the republished, corrected articles are provided here for reference.

Supporting information

S1 File. Originally published, uncorrected article.

https://doi.org/10.1371/journal.pone.0337752.s001

(PDF)

S2 File. Republished, corrected article.

https://doi.org/10.1371/journal.pone.0337752.s002

(PDF)

Reference

  1. 1. Li W, Kari L, Yu Y, Hug LA. MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes. PLoS One. 2023;18(8):e0283536. pmid:37594964

Citation: The PLOS One Staff (2025) Correction: MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes. PLoS One 20(11): e0337752. https://doi.org/10.1371/journal.pone.0337752

Published: November 25, 2025

Copyright: © 2025 The PLOS One Staff. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.