Conte, M., Flynn, A., Boisvert, P., Landis-Lewis, Z., Richesson, R., & Friedman, C. (2022, October). Computable phenotypes for cohort identification: Core content for a new class of FAIR Digital Objects. Research Ideas and Outcomes.
Chicago Style (17th ed.) CitationConte, Marisa, Allen Flynn, Peter Boisvert, Zach Landis-Lewis, Rachel Richesson, and Charles Friedman. "Computable Phenotypes for Cohort Identification: Core Content for a New Class of FAIR Digital Objects." Research Ideas and Outcomes Oct. 2022.
MLA (9th ed.) CitationConte, Marisa, et al. "Computable Phenotypes for Cohort Identification: Core Content for a New Class of FAIR Digital Objects." Research Ideas and Outcomes, Oct. 2022.
Warning: These citations may not always be 100% accurate.
