Graphic Response Envelope Analysis (GREA)

Versión 1.5.0 (13,8 MB) por 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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Actualizado 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

Citar como

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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Se creó con R2019a

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Versión	Publicado	Notas de la versión
1.5.0	20 jun 2019

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.

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} }