Rcurvep-package: Rcurvep: Concentration-Response Data Analysis using Curvep

In moggces/Rcurvep: Concentration-Response Data Analysis using Curvep

Rcurvep: Concentration-Response Data Analysis using Curvep

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1289/ehp.1002476")} and Sedykh A (2016) \Sexpr[results=rd]{tools:::Rd_expr_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., \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1093/bioinformatics/btw680")}) and 4-parameter Hill equation from Curve Class2 approach (Wang Y et al., \Sexpr[results=rd]{tools:::Rd_expr_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. \Sexpr[results=rd]{tools:::Rd_expr_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).

Author(s)

Maintainer: Jui-Hua Hsieh [e-mail] (ORCID)

Authors:

• Alexander Sedykh

• Tongan Zhao

Other contributors:

• Fred Parham [contributor]

• Yuhong Wang [contributor]

• Ruili Huang [contributor]

See Also

Useful links:

• https://github.com/moggces/Rcurvep

• Report bugs at https://github.com/moggces/Rcurvep/issues

moggces/Rcurvep documentation built on Feb. 6, 2024, 3:30 a.m.