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. 2024 Jan 31;21:3. doi: 10.1186/s12989-024-00565-x

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© The Author(s) 2024

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 — Comparative Analysis of diseases and molecular functions of transcriptomes of tumors induced by MWCNTs and amosite asbestos. A Datasets are classified by inducers. B Datasets are classified by type of mesothelioma. Heat maps depict z-scores, in which orange (positive z-score) represents activation, while blue (negative z-score) represents inhibition. No color means the function being analyzed is not involved in the dataset. The column clusters represent the inducers or type of mesothelioma. Data analysis and heat map generation were performed using Ingenuity Pathways Analysis (IPA)