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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. 5 — Overlap between and functional enrichment of LP-184 correlated genes from training and test sets. a This Venn diagram shows common genes between NCI-60 correlation with actual LP-184 sensitivity, and CCLE correlation with predicted LP-184 sensitivity. Bar charts show common GO enriched categories from b biological process, c cellular component, d molecular function aspects and e signaling pathway from KEGG (Kyoto Encyclopedia of Genes and Genomes), between NCI-60 top correlated genes and CCLE top correlated genes. Top 20 significant (FDR < = 0.05) GO enrichments were selected for comparison