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Fig. 4 | BMC Genomics

Fig. 4

From: A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics

Fig. 4

Gene expression analysis of stemness model A) Volcano plots of top and bottom stemness cancer basal cells from dataset 1 (i) and dataset 2 (ii) respectively. Gradient depicts negative logFC (blue) to positive logFC (red). Y axis represents the statistical significance and X axis the different percentage of cells expressing a given gene. Positive different percentage means that top stemness cells have more cells expressing that gene. B GO enrichment analysis of the top regulated genes in cancer basal top stemness cells for dataset 1 (red) and dataset 2 (blue). The number of DEG is plotted on the X axis and GO categories the genes are represented in are plotted on the y axis. C Survival analysis from TCGA breast cancer cohort of up regulated genes on top stemness cell type across datasets 1 and 2. Rows represent different gene lists according to dataset and cell type. Hazard ratio > 1 in blue, < 1 in red (p-value < 0.05)

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BMC Genomics

ISSN: 1471-2164

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