Figure 7

Construction of the mitophagy regulatory scoring model. (A) Before data merging, a PCA graph was drawn according to the data source grouping. (B) After data merging, PCA was performed according to the data source grouping. The X-axis and Y-axis represent principal component 1 (PC1) and principal component 2 (PC2), respectively. PC1 in the figure (X-axis) can reflect the feature differences in TCGA data, while PC2 in the figure (Y-axis) can reflect the feature differences in GEO data, so the whole PCA figure can reflect nearly half of the data differences. Because the data are high-dimensional, the first two principal components may not reflect the majority of the difference. Thus, the data can be analysed on a case-by-case basis. Each point in the graph represents each sample in the principal component 1 and 2 principal component location information, and the corresponding map of a single sample value cannot reflect the characteristics of the entire sample set. The distance between points (sample) can reflect the difference between samples. Different colours represent different samples belonging to a group, this part from comments head of uploading data content, concrete data format. The two figures show the results for two groups of samples, increasing the confidence of the results (if the differences between groups are too large, there may be no overlapping data points). (C) A global survival curve based on the mitophagy regulatory score in a training set. (D) ROC curve based on the mitophagy regulatory score in the training set. (E) A global survival curve based on the mitophagy regulatory score in a validation set. F.ROC curve based on the mitophagy regulatory score in the validation set.