[Retracted] Construction of an Immune-Autophagy Prognostic Model Based on ssGSEA Immune Scoring Algorithm Analysis and Prognostic Value Exploration of the Immune-Autophagy Gene in Endometrial Carcinoma (EC) Based on Bioinformatics

Figure 1

Development and validation of two immune cell subtypes in EC TCGA cohort. (a) When k = 2, the consensus score matrix of the EC sample is higher. The higher consensus score between the two samples indicates that they are more likely to be assigned to the same cluster in different iterations; (b) EC described the real random variables of its probability distribution, based on the consensus scores of different subtype numbers (k = 2–10); (c) the trigonometric curve of all samples is k = 2; (d) CTLA-4 was differentially expressed in the two subtypes; (e) the differential expression of CD274 in the two subtypes was observed; (f) the expression of PDCD1 was different between the two subtypes; (g) ssGSEA fractional thermogram of 28 kinds of immune cells.

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