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. 2020 Nov 13;6(46):eabb3461. doi: 10.1126/sciadv.abb3461

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Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

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Fig. 4 — (A) Schematic representation of our deconvolution model (see Supplementary Note). (B) Selected tumor contributions from known tumor and nontumor genes. Red denotes predicted tumor, and gray denotes predicted nontumor tissue of origin for a particular gene. (C) Estimated tumor fraction for pretreatment and on-treatment DEGs demonstrates that a majority of DEGs are predicted to come from tumor sources. (D) Histograms of maximum a posteriori (MAP) estimates of tumor fraction from our model across all genes. (E) Average tumor fraction of all genes involved in several selected KEGG categories. (F) Predicted tumor fraction of validated pretreatment DEGs, on-treatment DEGs, and all other genes predicted to be non–tumor derived (i.e., predicted tumor fractions of <0.5).