Journal article
Frontiers in Physiology, vol. 12, Frontiers, 2021, p. 432
APA
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Suvarna, K., Biswas, D., Pai, M. G., Acharjee, A., Bankar, R., Salkar, A., … others. (2021). Proteomics and machine learning approaches reveal a set of prognostic markers for COVID-19 severity with drug repurposing potential. Frontiers in Physiology, 12, 432.
Chicago/Turabian
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Suvarna, Kruthi, Deeptarup Biswas, Medha Gayathri Pai, Arup Acharjee, Renuka Bankar, Akanksha Salkar, Ayushi Verma, et al. “Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity with Drug Repurposing Potential.” Frontiers in Physiology 12 (2021): 432.
MLA
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Suvarna, Kruthi, et al. “Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity with Drug Repurposing Potential.” Frontiers in Physiology, vol. 12, Frontiers, 2021, p. 432.
BibTeX Click to copy
@article{suvarna2021a,
title = {Proteomics and machine learning approaches reveal a set of prognostic markers for COVID-19 severity with drug repurposing potential},
year = {2021},
journal = {Frontiers in Physiology},
pages = {432},
publisher = {Frontiers},
volume = {12},
author = {Suvarna, Kruthi and Biswas, Deeptarup and Pai, Medha Gayathri and Acharjee, Arup and Bankar, Renuka and Salkar, Akanksha and Verma, Ayushi and Mukherjee, Amrita and Choudhury, Manisha and Ghantasala, Saicharan and others}
}