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Fig. 6 | BMC Bioinformatics

Fig. 6

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

Fig. 6

Annotation of scRNA-seq results from melanoma dataset stratified by patient treatment status. Treatment status of patients diagnosed with melanoma was stratified based on their response to ICIs ([23, 29]). a The distribution in immune cell annotations and b T helper cell annotations based on scRNA-seq data were separated into samples obtained from ICI-resistant tumors, untreated tumors, and tumors reported in melanoma data without information about treatment status. Distributions are shown based on the percentage of all immune cells measured for each patient. Cell annotations were based on immune cell classifier and T helper cell classifier results. c PCA analysis was applied to the data obtained from both classifiers and the results for the first and second principal components were plotted. Red, blue, and grey colors indicate resistant, untreated and NoInfo (samples that have no information about their treatment status in the reference works) tumors, respectively. d Samples were hierarchically clustered based on the percentages of the nine immune cells and five T helper cells and same coloring applied to show tumor types

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