Rcurvep

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).