Graphic Response Envelope Analysis (GREA)

版本 1.5.0 (13.8 MB) 作者: Razor

A graphic version of REA. REA is the most accurate tool to identify and interpret drug combination effects.

https://github.com/4dsoftware/grea

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更新时间 2019/6/20

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A graphic version of REA. Please check the repo below for more information. https://www.mathworks.com/matlabcentral/fileexchange/71894-response-envelope-analysis-rea

引用格式

Du, Di, et al. “Response Envelope Analysis for Quantitative Evaluation of Drug Combinations.” Bioinformatics, edited by Jonathan Wren, Oxford University Press (OUP), Mar. 2019, doi:10.1093/bioinformatics/btz091.

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创建方式 R2019a

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Control Systems > Predictive Maintenance Toolbox > Design Condition Indicators > Design Condition Indicators at the Command Line >

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无法下载基于 GitHub 默认分支的版本

版本	已发布	发行说明
1.5.0	2019/6/20

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。

MLA	Du, Di, et al. “Response Envelope Analysis for Quantitative Evaluation of Drug Combinations.” Bioinformatics, edited by Jonathan Wren, Oxford University Press (OUP), Mar. 2019, doi:10.1093/bioinformatics/btz091.
APA	Du, D., Chang, C.-H., Wang, Y., Tong, P., Chan, W. K., Chiu, Y., Peng, B., et al. (2019). Response envelope analysis for quantitative evaluation of drug combinations. (J. Wren, Ed.)Bioinformatics. Oxford University Press (OUP). Retrieved from https://doi.org/10.1093%2Fbioinformatics%2Fbtz091
BibTeX	@article{Du_2019, doi = {10.1093/bioinformatics/btz091}, url = {https://doi.org/10.1093%2Fbioinformatics%2Fbtz091}, year = 2019, month = {mar}, publisher = {Oxford University Press ({OUP})}, author = {Di Du and Chia-Hua Chang and Yumeng Wang and Pan Tong and Wai Kin Chan and Yulun Chiu and Bo Peng and Lin Tan and John N Weinstein and Philip L Lorenzi}, editor = {Jonathan Wren}, title = {Response envelope analysis for quantitative evaluation of drug combinations}, journal = {Bioinformatics} }