Uri Obolski

This study uses random forest analysis to identify amino acid sites in HBV genome that predict genotype, finding 10 key sites across four genes with implications for HBV evolution and spacer domain function.

This study identifies 43 genes associated with invasive pneumococcal disease using whole genome sequence data and a random forest machine-learning algorithm across three geographically distinct datasets.