COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity

Autor: Konstantin Romantsov, Alexey Dubovenko, Ivan V. Ozerov, Savaş Tay, Alexander T. Pearson, Alexander Kalashnikov, Ramanathan Sethuraman, Tudor I. Oprea, Nishant Agrawal, Egor Galkin, Alex Zhavoronkov, Anastasia Shneyderman, Quentin Vanhaelen, Ekaterina Kozlova, Arsenii Zinkevich, Vladimir Naumov, Nina Tihonova, Evgeny Putin, Alexander Aliper, Evgeny Izumchenko, Stefan Pushkov, Fedor Galkin, Stephanie M. Cope

Publikováno v: PLoS Computational Biology, Vol 17, Iss 7, p e1009183 (2021)
PLoS Computational Biology
Naumov, V, Putin, E, Pushkov, S, Kozlova, E, Romantsov, K, Kalashnikov, A, Galkin, F, Tihonova, N, Shneyderman, A, Galkin, E, Zinkevich, A, Cope, S M, Sethuraman, R, Oprea, T I, Pearson, A T, Tay, S, Agrawal, N, Dubovenko, A, Vanhaelen, Q, Ozerov, I, Aliper, A, Izumchenko, E & Zhavoronkov, A 2021, ' COVIDomic : A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity ', P L o S One, vol. 17, no. 7, e1009183 . https://doi.org/10.1371/journal.pcbi.1009183

Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several

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https://doaj.org/article/9ddf87614ae645bab219cc0619106297