Graphic Response Envelope Analysis (GREA)

Version 1.5.0 (13.8 MB) by 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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Updated 20 Jun 2019

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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

Cite As

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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Created with R2019a

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Version	Published	Release Notes
1.5.0	20 Jun 2019

To view or report issues in this GitHub add-on, visit the GitHub Repository.

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} }

Graphic Response Envelope Analysis (GREA)

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