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. 2021 Oct 1;6:61. doi: 10.1038/s41536-021-00168-6

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — a Late integration applies transformation or modeling for each of the different ‘omic datasets, and these are later integrated to construct a model. b Early integration concatenates all the different datasets and constructs a single model based on all the data. Clustering models and transformations (presented only as deep networks) can vary according to the approach and algorithm selected. Created in Biorender.com.