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. 2022 Jun 23;13:889726. doi: 10.3389/fpls.2022.889726

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Copyright © 2022 Liu, Pan, Ni, Xing, Cheng and Peng.

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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Trend analysis of differentially expressed genes (A), changes in the gene expression level of profile 0 (B), and the pathway of genes in profile 0 can be annotated in the KEGG database (C). From this figure, we can intuitively see the expression changes of genes belonging to this trend, as well as the tightness of aggregation. Each line in the figure represents a gene, and the abscissa is the sample group and the ordinate is the expression change [log₂ (V_i/V₀)].