Predicting Gene Evolution with Random Forest

This chapter explores a study where the machine learning approach of random forest is used to predict gene evolution in E. coli bacteria. The speakers discuss how certain genes tend to travel together and how the presence of one gene can predict the absence of another. The implications of these findings for genetic research and applications in medicine are also highlighted.