Supplementary data for: Viral host identification using machine learning and viral genome sequences

Host identification can be done using viral genome sequences and machine learning. This thesis seeks to address the topic of virus host identification using machine learning through identifying the current body of evidence and applying machine learning classifiers to the hemagglutinin sequence of H3 influenza.

In chapter 2, a scoping review was performed. Data were charted for 53 publications that were identified to be within the scope. There was a wide variety in methodology used within these publications.