Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer

Figure 2

A prognostic CDS developed by machine learning analysis. (a) The C-index of 101 kinds of prognostic models constructed by 10 machine-learning algorithms in training and testing cohort. ((b)–(g)) The survival curve of ovarian cancer patients with different CDS score and their corresponding ROC curves in TCGA, GSE14764, GSE26193, GSE26172, GSE63885, and GSE140082 cohort. ((h)–(l)) The C-index of CDS, tumor grade, and clinical stage in predicting the overall survival rate of OC patients in TCGA, GSE14764, GSE26193, GSE63885, and GSE140082 cohort.

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