Kiebish, M.A.; Shah, P.; Sarangarajan, R.; Vishnudas, V.K.; Gesta, S.; Tekumalla, P.K.; Bountra, C.; Granger, E.; Schadt, E.; Rodrigues, L.O.;
et al. Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19. Appl. Sci. 2021, 11, 2466.
https://doi.org/10.3390/app11062466
AMA Style
Kiebish MA, Shah P, Sarangarajan R, Vishnudas VK, Gesta S, Tekumalla PK, Bountra C, Granger E, Schadt E, Rodrigues LO,
et al. Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19. Applied Sciences. 2021; 11(6):2466.
https://doi.org/10.3390/app11062466
Chicago/Turabian Style
Kiebish, Michael A., Punit Shah, Rangaprasad Sarangarajan, Vivek K. Vishnudas, Stephane Gesta, Poornima K. Tekumalla, Chas Bountra, Elder Granger, Eric Schadt, Leonardo O. Rodrigues,
and et al. 2021. "Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19" Applied Sciences 11, no. 6: 2466.
https://doi.org/10.3390/app11062466
APA Style
Kiebish, M. A., Shah, P., Sarangarajan, R., Vishnudas, V. K., Gesta, S., Tekumalla, P. K., Bountra, C., Granger, E., Schadt, E., Rodrigues, L. O., & Narain, N. R.
(2021). Bayesian Model Infers Drug Repurposing Candidates for Treatment of COVID-19. Applied Sciences, 11(6), 2466.
https://doi.org/10.3390/app11062466