Editorial: Integrative multi-modal, multi-omics analytics for the better understanding of metabolic diseases.

1 PicardMScott-BoyerMPBodeinAPérinODroitA. Integration strategies of multi-omics data for machine learning analysis. Comput Struct Biotechnol J (2021) 19:3735–46. doi: 10.1016/j.csbj.2021.06.030 2 Bravo-MerodioLAcharjeeARussDBishtVWilliamsJATsaprouniLGet al. Translational biomarkers in the era of precision medicine. Adv Clin Chem (2021) 102:191–232. doi: 10.1016/bs.acc.2020.08.002 Summary

omics, diagnostic, biomarker, therapeutic, metabolic disease Citation Acharjee A, Agarwal P and Gkoutos GV (2023) Editorial: Integrative multi-modal, multi-omics analytics for the better understanding of metabolic diseases. Front. Endocrinol. 14:1266557. doi: 10.3389/fendo.2023.1266557 Received 25 July 2023 Accepted 21 August 2023 Published 08 September 2023 Volume 14 - 2023 Edited and reviewed by Tom Michoel, University of Bergen, Norway Updates Copyright © 2023 Acharjee, Agarwal and Gkoutos. 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: Animesh Acharjee, [email protected] 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.