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. 2020 Mar 4;10:3986. doi: 10.1038/s41598-020-60747-3

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© 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/.

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Variable importance plots for the top 10 descriptors from the random forest QSAR models predicting autofluorescence in: (A) any color channel, (B) the blue channel, (C) the green channel and (D) the red channel. The importance of each descriptor is normalized, and ten values for each descriptor are reported corresponding to each of the ten models developed with different data set segregations. Descriptors are defined in Supporting Information Table S8.