REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation

Xinying Fang; Xinyi Liu; Vernon M. Chinchilli; Michael Wang; Hong Gang Wang; Nikolay V. Dokholyan; Chan Shen; J. Jack Lee; Shouhao Zhou

doi:10.1017/cts.2023.642

REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation

Xinying Fang, Xinyi Liu, Vernon M. Chinchilli, Michael Wang, Hong Gang Wang, Nikolay V. Dokholyan, Chan Shen, J. Jack Lee, Shouhao Zhou

Research output: Contribution to journal › Article › peer-review

Abstract

REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.

Original language	English (US)
Article number	e219
Journal	Journal of Clinical and Translational Science
Volume	7
Issue number	1
DOIs	https://doi.org/10.1017/cts.2023.642
State	Published - Oct 13 2023

Keywords

cancer biology
dose-response estimation
drug potency
ED
IC
median-effect equation
quantitative tool
robust beta regression
Shiny
sigmoid function
software

ASJC Scopus subject areas

General Medicine

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10.1017/cts.2023.642

Cite this

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title = "REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation",

abstract = "REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.",

keywords = "cancer biology, dose-response estimation, drug potency, ED, IC, median-effect equation, quantitative tool, robust beta regression, Shiny, sigmoid function, software",

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note = "Publisher Copyright: {\textcopyright} The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science.",

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doi = "10.1017/cts.2023.642",

language = "English (US)",

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AU - Fang, Xinying

AU - Liu, Xinyi

AU - Chinchilli, Vernon M.

AU - Wang, Michael

AU - Wang, Hong Gang

AU - Dokholyan, Nikolay V.

AU - Shen, Chan

AU - Lee, J. Jack

AU - Zhou, Shouhao

N1 - Publisher Copyright: © The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science.

PY - 2023/10/13

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KW - dose-response estimation

KW - drug potency

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REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation

Abstract

Keywords

ASJC Scopus subject areas

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