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. 2023 Jul 5;14:93. doi: 10.1186/s40104-023-00890-9

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Integration of transcriptomic and phenomic information using the DIABLO approach. a Correlation plot among the different sets of categories; b–d The loading plots of flow cytometry immune cells (b) udder health traits (c) and differentially expressed genes (DEGs) (d). Pink and light blue bars represent healthy animals and cows with subclinical intramammary infection (sIMI), respectively. The negative values of the loading weights (light blue bars) signify that the corresponding variables had higher expression/value in infected animals. The positive values (pink bars) mean that related variables had higher expression/values in healthy animals. e Circos plot showing the correlation between candidate variables. MQ: milk quality, IS: immune system, UH: udder health