Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Jun 10;10:9377. doi: 10.1038/s41598-020-65927-9

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Predictive performance for all of the analyzed drugs. (a) 1 - RMSE versus correlation per drug, obtained by elastic net using genome-wide gene expression data as predictors. For 1-RMSE, higher values correspond to better performance. (b) Correlation versus standard deviation of true AUC for all cell lines screened for a given drug, correlation obtained by genome-wide elastic net. (c) RelRMSE versus correlation obtained by the best model for a given drug. Higher values of RelRMSE correspond to better performance and improvement over a dummy model, which predicts average AUC. Each point represents a single drug. For each of them, corresponding best performance was determined using correlation as a metric. Colors represent models with feature set that obtained the best performance for a given drug. Horizontal line at 1 represents the baseline RelRMSE score. Most of these correlations are statistically significant (test based on Student’s t-distribution at 0.05 significance level, Fig. S1). (d) Distribution of per-drug predictive performance grouped by per-drug number of available samples. Colors represent models with feature set that obtained the best performance for a given drug. See Fig. 1 for model abbreviations.