Addition of Authors
Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat and Vincent Grégoire were not included as authors in the original publication []. The corrected Author Contributions Statement appears here. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Author Contributions
Conceptualization, S.R. and J.L.-L.; methodology, S.R., T.B. and J.L.-L.; software, T.B. and J.L.-L.; validation, S.R.; formal analysis, T.B.; writing—original draft preparation, T.B.; writing—review and editing, J.L.-L. and S.R.; supervision, S.R.; project administration, S.R.; data curation, A.H., S.T., D.P., I.G., R.M., D.G., J.T., V.G. and P.V.; resources, S.T., D.P., I.G., R.M., J.T., V.G. and P.V.; medical expertise, P.V.; investigation, T.B., J.L.-L., A.H., S.T., D.P., I.G., R.M., D.G., J.T., V.G., P.V. and S.R. All authors have read and agreed to the published version of the manuscript.
Reference
- Brochet, T.; Lapuyade-Lahorgue, J.; Vera, P.; Ruan, S. A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. [Google Scholar] [CrossRef] [PubMed]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).