Prioritization of chemicals for effects on steroidogenesis using an integrated statistical approach to high-throughput H295R data
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https://cran.r-project.org/web/packages/tcpl/index.html
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Supplemental_Haggard_et_al_mahalanobis_prioritization.zip
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Keith Houck", "hasEmail": "mailto:houck.keith@epa.gov" } |
| description | HT-H295R data was downloaded using the ToxCast pipeline (tcpl) R package and is publicly available. Multi-concentration level 0 data from invitrodb (version 3.1) were downloaded and converted from g/ml into micromolar concentrations prior to calculation of mMds and data simulation (Supplemental Data 1). This dataset is associated with the following publication: Haggard, D., W. Setzer, R. Judson, and K. Friedman. Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 109: 104510, (2019). |
| distribution |
[ { "title": "https://cran.r-project.org/web/packages/tcpl/index.html", "accessURL": "https://cran.r-project.org/web/packages/tcpl/index.html" }, { "title": "Supplemental_Haggard_et_al_mahalanobis_prioritization.zip", "mediaType": "application/x-zip-compressed", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503880/Supplemental_Haggard_et_al_mahalanobis_prioritization.zip" } ] |
| identifier | https://doi.org/10.23719/1503880 |
| keyword |
[ "High throughput screening", "Steriodogenesis", "ToxCast", "chemical prioritization", "endocrine disruption", "high throughput toxicology" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-05-21 |
| programCode |
[ "020:095" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://doi.org/10.1016/j.yrtph.2019.104510" ] |
| rights |
null
|
| title | Prioritization of chemicals for effects on steroidogenesis using an integrated statistical approach to high-throughput H295R data |