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. 2021 Mar 2;22:102. doi: 10.1186/s12859-021-04040-8

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 6 — Potential LP-184 sensitive and resistant tumor types from the test set predictions. a This bar chart shows tumor types potentially sensitive to LP-184, highlighted in green. Y axis represents the percentage of cell lines by tumor type predicted as sensitive to LP-184, and X axis shows various tumor types. b This bar chart shows tumor types potentially resistant to LP-184, highlighted in red. Y axis represents the percentage of cell lines by tumor type predicted as resistant to LP-184, and X axis shows various tumor types. c This box plot shows the spread of predicted LP-184 IC50 values across multiple tumor types represented in the CCLE