Watford_Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer
We present a novel use of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene associations with biological concepts as represented by Medical Subject Headings (MeSH terms) in PubMed.
This dataset is associated with the following publication:
Watford, S., R. Grashow, V. De La Rosa, R. Rudel, K. Paul-Friedman, and M. Martin. Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: Use case in breast carcinogenesis. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 7: 46-57, (2018).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Richard Judson",
"hasEmail": "mailto:judson.richard@epa.gov"
}
|
| description | We present a novel use of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene associations with biological concepts as represented by Medical Subject Headings (MeSH terms) in PubMed. This dataset is associated with the following publication: Watford, S., R. Grashow, V. De La Rosa, R. Rudel, K. Paul-Friedman, and M. Martin. Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: Use case in breast carcinogenesis. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 7: 46-57, (2018). |
| distribution |
[
{
"title": "https://doi.org/10.23645/epacomptox.6635564",
"accessURL": "https://doi.org/10.23645/epacomptox.6635564"
},
{
"title": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Watford/Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer",
"accessURL": "https://gaftp.epa.gov/COMPTOX/NCCT_Publication_Data/Watford/Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer"
},
{
"title": "https://github.com/USEPA/CompTox-HTTr-EMCON",
"accessURL": "https://github.com/USEPA/CompTox-HTTr-EMCON"
}
]
|
| identifier | https://doi.org/10.23719/1502465 |
| keyword |
[
"ACToR",
"Biomedical Literature",
"Breast Carcinogenesis",
"Chemical Exposures",
"Data Integration",
"Literature Mining",
"genes"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-10-15 |
| 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.comtox.2018.06.003"
]
|
| rights |
null
|
| title | Watford_Novel_application__NPMI_Biomedlit_genesets_usecase_breast_cancer |
