clean_endPoint_info

Define a subset of the ToxCast database for relevance to toxEval analyses.
Subsetting is done based upon methods defined by Blackwell et al., 2017 (
tools:::Rd_expr_doi("10.1021/acs.est.7b01613")).
Specifically, this function removes endPoints that are ATG sources with
signal loss, and NVS with signal gain (basically: some assay/signal combinations
are removed because they target non-specific endpoints). Also, this function adds additional
categories to intended_target_family and intended_target_family_sub as
described in the paper linked above.

Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.

Laura DeCicco

toxEval

Exploring Biological Relevance of Environmental Chemistry
Observations

Steven Corsi

Daniel Villeneuve

Brett Blackwell

Gerald Ankley

Alison Appling

Dalma Martinovic

clean_endPoint_info function

<dl><dt>end_point_info</dt>
<dd>Data frame Endpoint information from ToxCast.</dd></dl>

Arguments

clean_endPoint_info — clean_endPoint_info

<dl>

<dt>end_point_info</dt>
<dd>Data frame Endpoint information from ToxCast.</dd>

</dl>

clean_endPoint_info: clean_endPoint_info

Description

Usage

Value

Arguments

Examples