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. 2024 Feb 2;11:159. doi: 10.1038/s41597-024-03002-y

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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. 3 — BE1.500 dataset, 500 cells, randomly selected from each of the seven cell lines experiment, were combined in a unique dataset and clustered using Louvain modularity method³³. (A) the clustering results are presented at a resolution of 0.1. (B) cell lines association to the clusters. A549 and CCL-185-IG are syngeneic, and despite the expression of ALK in CCL-185-IG, this does not lead to the segregation of A549 and CCL-185-IG into distinct clusters. (C) Hierarchical clustering of the clusters pseudo-bulks, generated by aggregating the expression levels of all cells within each cluster, and the bulk transcriptomes of the cell lines downloaded from Cancer Cell Lines Encyclopedia (CCLE). The clustering was done using the best 100 positively expressed markers depicted by COMET software for each cluster.