Machine learning helps scientists identify the environmental preferences of microbes
A machine-learning approach can give scientists insight into the environmental preferences of microbes, based only on their genes. The approach has practical research implications: it could help researchers more efficiently grow bacteria in the laboratory. It could also lead to smarter use of microbes in agriculture, ecological restoration, and even probiotics.
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