B Kirtley Amos

KeySDL identifies keystone microbes using sparse dictionary learning and GLV dynamics assumptions, enabling accurate predictions from limited data.

The paper reports on a competition to predict maize yield using genetic and environmental data, showing that diverse modeling approaches can achieve good results.

This study characterizes how SARS-CoV-2 3CLpro cleaves NEMO, revealing structural and functional insights that explain its high fitness in humans.

The paper uses a systems biology approach to analyze COVID-19 data and identifies non-respiratory infection pathways as key to its global spread.