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. 2021 Sep 17;12:749459. doi: 10.3389/fimmu.2021.749459

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Copyright © 2021 Chen, Wang, De Wilde, Feng, Su, Torres-de la Roche and Shi

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 selection of the best parameter for the machine learning model. (A) Protein–protein interaction network of genes in the brown module. The color intensity and the size of nodes were positively correlated with the degree score. (B) The “mtry” with the highest AUC was selected as the optimal value of the random forest algorithm. (C) The “ntree” with the highest AUC was selected as the optimal value of the random forest algorithm. (D) Validation of model in the testing dataset. CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.