Machine learning based prediction of functional capabilities in metagenomically assembled microbial genomes
Fred Farrell, Orkun S. Soyer, Christopher Quince
The paper uses machine learning to predict functional and metabolic traits of microbes from their genomes, finding that lasso logistic regression on gene ortholog frequencies performs best.
bioRxiv · Apr 25, 2018 · PreprintMicrobiology