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Machine learning methods accurately predict host specificity of coronaviruses based on spike sequences alone

К. Г. Кузьмин, Ayotomiwa Ezekiel Adeniyi, Arthur Kevin DaSouza, Deuk Lim, Huyen N. Nguyen, Nuria Ramirez Molina, Lanqiao Xiong, Irene T. Weber, Robert W. Harrison

2020Biochemical and Biophysical Research Communications86 citationsDOIOpen Access PDF

Topics & Concepts

CoronavirusHost (biology)Spike (software development)BiologyRandom forestOutbreakVirusComputational biologySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Decision treeVirologyCoronavirus disease 2019 (COVID-19)Artificial intelligenceGeneticsComputer scienceInfectious disease (medical specialty)DiseaseMedicinePathologySoftware engineeringSARS-CoV-2 and COVID-19 ResearchAnimal Virus Infections StudiesViral gastroenteritis research and epidemiology
Machine learning methods accurately predict host specificity of coronaviruses based on spike sequences alone | Litcius