Additional file 7 of Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model

Additional file 7: Dataset S5. Prediction results for Sus scrofa. Unvalidated pig PPI predictions of the cGAN model, which was trained to predict the N100 connectivity from the N90 level, then was used to produce new predictions (~ N110) from the N100 level. See the Implementation section for more details. STRING protein identifiers are mapped to preferred gene names according to information in the STRING database.

附加文件7：数据集S5。野猪（Sus scrofa）的预测结果。本数据集包含条件生成对抗网络（conditional Generative Adversarial Network, cGAN）模型针对猪的未验证蛋白质-蛋白质相互作用（Protein-Protein Interaction, PPI）预测结果。该模型经训练可从N90级数据预测N100连接性，随后被用于从N100级数据生成约N110级的新预测结果。更多细节详见「实现方法」章节。依据STRING数据库（STRING database）中的信息，STRING蛋白标识符已被映射为首选基因名称。