Yuliya V. Karpievitch

This study identifies genomic features influencing phage activity against Pseudomonas aeruginosa and develops a machine learning classifier to predict phage-host outcomes.

The paper compares gene expression and co-expression network structure between amniotic epithelium and newborn nasal epithelium, finding significant overlap and suggesting amniotic tissue as a surrogate for respiratory epithelium studies.

HOME identifies differentially methylated regions with higher accuracy and broader applicability across organisms and contexts.