Skip to main content
Fig. 4 | BMC Bioinformatics

Fig. 4

From: An elastic-net logistic regression approach to generate classifiers and gene signatures for types of immune cells and T helper cell subsets

Fig. 4

Immune cell annotation prediction against prior annotations reported in breast cancer scRNA-seq dataset. The inner pie chart summarizes the cell annotations reported by Chung et al. [24], which annotated scRNA-seq results by clustering by gene ontology terms using likelihood ratio test. Using the gene expression profile reported for each scRNA-seq sample, a new cell annotation was determined based on the closest match with the alternative cell signatures determined using elastic-net logistic regression, which is summarized in the outer pie chart

Back to article page