zfishdev_act

<p>The data is an rcurvep object from the <code>combi_run_rcurvep()</code>.
See <code>combi_run_rcurvep()</code> for the code to reproduce this dataset.</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_act function

<p>A list of two named components: result and config.
The result component is a list with one component: act_set.</p>

Format

Activity output based on simulated datasets using zfishdev_all dataset — zfishdev_act

Activity output based on simulated datasets using zfishdev_all dataset

zfishdev_act: Activity output based on simulated datasets using zfishdev_all dataset

Description

Usage

Arguments

Format

See Also