Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
Resources
2 resources available
-
https://github.com/UNCSRP
FILE -
https://uncsrp.github.io/Data-Analysis-Training-Modules/
FILE
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Grace Patlewicz",
"hasEmail": "mailto:patlewicz.grace@epa.gov"
}
|
| description | The original contributions presented in the study are included in the article and online through the TAME Toolkit, available at: https://uncsrp.github.io/Data-Analysis-Training-Modules/, with underlying code and datasets available in the parent UNC-SRP GitHub website (https://github.com/UNCSRP). This dataset is associated with the following publication: Roell, K., L. Koval, R. Boyles, G. Patlewicz, C. Ring, C. Rider, C. Ward-Caviness, D. Reif, I. Jaspers, R. Fry, and J. Rager. Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 4: 893924, (2022). |
| distribution |
[
{
"title": "https://github.com/UNCSRP",
"accessURL": "https://github.com/UNCSRP"
},
{
"title": "https://uncsrp.github.io/Data-Analysis-Training-Modules/",
"accessURL": "https://uncsrp.github.io/Data-Analysis-Training-Modules/"
}
]
|
| identifier | https://doi.org/10.23719/1527919 |
| keyword |
[
"Exposure Science",
"Read-across",
"cheminformatics",
"data science",
"public health"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2022-06-22 |
| programCode |
[
"020:000"
]
|
| 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/10.3389/ftox.2022.893924",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257219"
]
|
| rights |
null
|
| title | Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research |