The University of Liverpool researchers have conducted a study to predict over 20,000 unknown associations between known viruses and susceptible mammalian species. The research, published in a paper titled. “Divide and conquer – machine-learning integrates mammalian, viral, and network traits to predict unknown virus-mammal associations”, used machine learning to improve our understanding of viral host…

The post How Machine Learning Predicts The Host Range Of Known Viruses appeared first on Analytics India Magazine.