Novel application of normalized pointwise mutual information (NPMI) to mine biomedical literature for gene sets associated with disease: use case in breast carcinogenesis.

Watford, Sean M; Grashow, Rachel G; De La Rosa, Vanessa Y; Rudel, Ruthann A; Friedman, Katie Paul; Martin, Matthew T

Watford, Sean M; Grashow, Rachel G; De La Rosa, Vanessa Y; Rudel, Ruthann A; Friedman, Katie Paul; Martin, Matthew T.

Watford SM; ORAU, contractor to U.S. Environmental Protection Agency through the National Student Services Contract, Oak Ridge, TN.
Grashow RG; Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, North Carolina, United States.
De La Rosa VY; Silent Spring Institute, Newton, MA.
Rudel RA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA.
Friedman KP; Silent Spring Institute, Newton, MA.
Martin MT; Social Science Environmental Health Research Institute, Northeastern University, Boston, MA.

Comput Toxicol ; 7: 46-57, 2018 Aug.

Article en En | MEDLINE | ID: mdl-32274464

Palabras clave

Biomedical Literature; Breast Carcinogenesis; Chemical Exposures; Data Integration; Genes; Literature Mining

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2018 Tipo del documento: Article

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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2018 Tipo del documento: Article