Fig. 1 | Scientific Reports

Fig. 1

From: Integrating bulk RNA-seq and scRNA-seq analyses with machine learning to predict platinum response and prognosis in ovarian cancer

Fig. 1

Identification of cancer cells by scRNA-seq. The scRNA-seq dataset—GSE165897 was analyzed (A) Uniform manifold approximation and projection (UMAP) plot of all cells that were classified into 25 clusters. Different colors represent different clusters. (B) UMAP plot of all cells according to cell annotation. Different colors represent different cell type (C) UMAP plot across multiple patients, highlighting interpatient tumor cell heterogeneity. Different colors represent different patients (D) The Dotplot of different cell populations with maker genes.

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