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. 2023 Sep 26;14:1266721. doi: 10.3389/fendo.2023.1266721

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Copyright © 2023 Guo, Pan, Su, Huang, Zhou, Huang and Tian

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.

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The potentiality prediction of research signatures of the lymphoma metabolism. The “Walktrap” algorithm based on the Random Walk strategy was utilized to perform community discovery analysis on 5,000 author keywords. The value of the x-axis indicates the relevance (importance) of the research signatures to the field, while the value of the y-axis indicates the degree of development of the research signatures in the field. Keywords “lymphoma, pet/ct, prognosis”, “apoptosis, metabolism, chemotherapy”, “meta-analysis”, and “genotoxicity, mutagenicity” in Community IV (Crucial but still under-explored signatures).