AJMC October 24, 2021
Many novel traits are shared through gene transfer, but scientists haven’t been able to determine why some bacteria engage in gene transfer while others do not.
Researchers recently used machine learning to sort organisms by their functions and used this information to predict with near-perfect accuracy how genes are transferred between them, an approach that could potentially be used to stop the spread of antibiotic resistance.
Bacteria have the ability to pass genes to each other, or pick them up from their environment, through a process called horizonal gene transfer, which is a major culprit in the spread of antibiotic resistance.
The scientists used several machine-learning models, each of which teased out different phenomena embedded in the data. This enabled...
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