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Differential Correlation Analysis and Correlation Network Diagram

YW Yan Wang
XL Xin-Yu Li
CL Cai-Xia Li
YH Yuan He
XH Xin-Yi Hou
XM Xin-Rong Ma
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Correlation analysis was conducted for DEMs and genes using the COR program in R (Chong and Xia, 2018). The positively related genes with Pearson's correlation coefficients (PCC) >0.9 were selected and further filtered on the basis of gene length exceeding 750 bp.

The selected genes were then analyzed using the MapMan software package (http://mapman.gabipd.org/web/guest/home), which includes two freely available programs (Schwacke et al., 2019). First, each input gene was given a function annotation item “Bin” based on the reference database in MapMan. The pathway interpretation of these genes was then visualized in MapMan. After that, network visualization between the target metabolites and genes was completed using the Cytoscape software package (Shannon et al., 2003).

Copyright and License information:  ©2021 Wang, Li, Li, He, Hou and Ma.
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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