Rcurvep: Concentration-Response Data Analysis using Curvep

An R interface for processing concentration-response datasets using Curvep, a response noise filtering algorithm. The algorithm was described in the publications (Sedykh A et al. (2011) <doi:10.1289/ehp.1002476> and Sedykh A (2016) <doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting approaches (e.g., Hill equation) are also adopted for ease of comparison. 3-parameter Hill equation from 'tcpl' package (Filer D et al., <doi:10.1093/bioinformatics/btw680>) and 4-parameter Hill equation from Curve Class2 approach (Wang Y et al., <doi:10.2174/1875397301004010057>) are available. Also, methods for calculating the confidence interval around the activity metrics are also provided. The methods are based on the bootstrap approach to simulate the datasets (Hsieh J-H et al. <doi:10.1093/toxsci/kfy258>). The simulated datasets can be used to derive the baseline noise threshold in an assay endpoint. This threshold is critical in the toxicological studies to derive the point-of-departure (POD).

Package details

AuthorJui-Hua Hsieh [aut, cre] (<https://orcid.org/0000-0003-1620-1571>), Alexander Sedykh [aut], Fred Parham [ctb], Yuhong Wang [ctb], Tongan Zhao [aut], Ruili Huang [ctb]
MaintainerJui-Hua Hsieh <juihua.hsieh@gmail.com>
LicenseMIT + file LICENSE
URL https://github.com/moggces/Rcurvep
Package repositoryView on CRAN
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Rcurvep documentation built on May 29, 2024, 8:50 a.m.