APA (7th ed.) Citation

Davis, A. P., Wiegers, T. C., Johnson, R. J., Lay, J. M., Lennon-Hopkins, K., Saraceni-Richards, C., . . . Mattingly, C. J. (2013). Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Davis, Allan Peter, Thomas C. Wiegers, Robin J. Johnson, Jean M. Lay, Kelley Lennon-Hopkins, Cynthia Saraceni-Richards, Daniela Sciaky, Cynthia Grondin Murphy, and Carolyn J. Mattingly. Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-gene-disease Curation at the Comparative Toxicogenomics Database. Public Library of Science (PLoS), 2013.

MLA (8th ed.) Citation

Davis, Allan Peter, et al. Text Mining Effectively Scores and Ranks the Literature for Improving Chemical-gene-disease Curation at the Comparative Toxicogenomics Database. Public Library of Science (PLoS), 2013.