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. 2021 Oct;31(10):1913–1926. doi: 10.1101/gr.273300.120

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© 2021 Nieto et al.; Published by Cold Spring Harbor Laboratory Press

This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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Figure 2. — Patient stratification based on the tumor immune cell composition. (A) Cell type composition of patients colored by cell type/state frequencies. Patients are clustered (C1–6) into groups of similar cell type composition. Cancer and cluster identities are indicated below. (B) Dimensionality reduction representation (t-SNE distribution) of cell type frequencies in cancer patients colored by cancer type (top) and cluster identity (bottom). (C) Variance contribution to the two first principal components (PCs) of the top variable cell types. (D) Frequencies (% total cells) of cell types representative for cluster 1–6. (E) Heat map representation of cell type frequencies within each cluster. (F) Cancer type contribution to the six immune clusters; color code as cancer types in A.