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Editorial
. 2023 Sep 8:14:1266557.
doi: 10.3389/fendo.2023.1266557. eCollection 2023.

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

Animesh Acharjee  1   2   3   4 , Prasoon Agarwal  5 , Georgios V Gkoutos  1   2   3   4   6
Affiliations
Editorial

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

Animesh Acharjee et al. Front Endocrinol (Lausanne). .
No abstract available

Keywords: biomarker; diagnostic; metabolic disease; omics; therapeutic.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

Figure 1
Figure 1
Graphical representation of the multi-modal integration to understand the mechanistic aspects of the metabolic disease.
See this image and copyright information in PMC

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  • Editorial on the Research Topic Integrative multi-modal, multi-omics analytics for the better understanding of metabolic diseases

References

    1. Picard M, Scott-Boyer MP, Bodein A, Périn O, Droit A. 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 - DOI - PMC - PubMed
    1. Bravo-Merodio L, Acharjee A, Russ D, Bisht V, Williams JA, Tsaprouni LG, et al. . Translational biomarkers in the era of precision medicine. Adv Clin Chem (2021) 102:191–232. doi: 10.1016/bs.acc.2020.08.002 - DOI - PubMed

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