Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors - Venkatakrishnan, A J; Puranik, Arjun; Anand, Akash; Zemmour, David; Yao, Xiang; Wu, Xiaoying; Chilaka, Ramakrishna; Murakowski, Dariusz K; Standish, Kristopher; Raghunathan, Bharathwaj; Wagner, Tyler; Garcia-Rivera, Enrique; et al. (arXiv.org, 2020)
Keywords: Asymptomatic; Coronaviruses; COVID-19; Depth profiling; Disease transmission; Gene sequencing; Intersections; Neural networks; Receptors; Severe acute respiratory syndrome coronavirus 2; Smell; Synthesis; Triangulation; Unstructured data; Viral diseases