zfishdev_all

<p>The datasets contain 4 toxicity endpoints and 32 chemicals.</p>

datasets

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).

Jui-Hua Hsieh

Rcurvep

Concentration-Response Data Analysis using Curvep

Alexander Sedykh

Fred Parham

Yuhong Wang

Tongan Zhao

Ruili Huang

zfishdev_all function

<p>A tibble with 512 rows and 5 columns:</p>

Format

Full sets of concentration response datasets from zebrafish developmental toxicity assays — zfishdev_all

Full sets of concentration response datasets from zebrafish developmental toxicity assays

zfishdev_all: Full sets of concentration response datasets from zebrafish developmental toxicity assays

Description

Usage

Arguments

Format

See Also