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Open Access

Correction

Correction: Global gene network exploration based on explainable artificial intelligence approach

  • Heewon Park,
  • Koji Maruhashi,
  • Rui Yamaguchi,
  • Seiya Imoto,
  • Satoru Miyano
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The following information is missing from the Funding statement: This work was supported by MEXT as Innovative Areas (JP15H05912), “Priority Issue on Post-K computer” (Integrated Computational Life Science to Support Personalized and Preventive Medicine, Project ID: hp180198, hp190158), and “Program for Promoting Researches on the Supercomputer Fugaku” (Unravelling origin of cancer and diversity by large-scale data analysis and artificial intelligence technology, Project ID: hp200138). This work was also supported by JSPS KAKENHI (JP19K20402, JP18H03329).

An additional affiliation is missing for the third author. Rui Yamaguchi is also affiliated with Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Aichi, Japan.

Reference

  1. 1. Park H, Maruhashi K, Yamaguchi R, Imoto S, Miyano S (2020) Global gene network exploration based on explainable artificial intelligence approach. PLoS ONE 15(11): e0241508. https://doi.org/10.1371/journal.pone.0241508 pmid:33156825

Citation: Park H, Maruhashi K, Yamaguchi R, Imoto S, Miyano S (2021) Correction: Global gene network exploration based on explainable artificial intelligence approach. PLoS ONE 16(1): e0246380. https://doi.org/10.1371/journal.pone.0246380

Published: January 27, 2021

Copyright: © 2021 Park et al. 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.