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. 2024 Dec 4;14:30202. doi: 10.1038/s41598-024-80534-8

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 2 — Comparison of the single sample methods, ssGSEA and GSVA. (A) Schematic of standard single sample analysis workflow. (B) Scatterplot showing the correlation of ssGSEA and GSVA scores for the Hallmark Interferon Alpha Response (Pearson correlation coefficient, R = 0.835), Interferon Gamma Response (R = 0.878) and EMT (R = 0.953). (C) Heatmap of ssGSEA and GSVA scores for Interferon Alpha Response, Interferon Gamma Response and EMT comparing NR and R. Distribution of the ssGSEA and GSVA scores for the Interferon Alpha Response signature in the R (orange) and NR (blue) samples using (D) kernel density and (E) histograms. Distribution of the ssGSEA and GSVA scores for the Interferon Gamma Response signature in the R (orange) and NR (blue) samples using (F) kernel density and (G) histograms. Distribution of the ssGSEA and GSVA scores for the EMT signature in the R (orange) and NR (blue) samples using (H) kernel density and (I) histograms.