2 papers
stat.ME2026
Dynamic Co-Expression Network Estimation via Multivariate Mixed-Effects Models
Samuel Ozminkowski, Lifang Hou, David R Jacobs +1
High-throughput sequencing technologies have enabled the collection of large-scale longitudinal -omics data, providing new opportunities for studying co-expression networks among m…
q-bio.GN2024
BioKlustering: a web app for semi-supervised learning of maximally imbalanced genomic data
Samuel Ozminkowski, Yuke Wu, Hailey Bruzzone +6
Summary: Accurate phenotype prediction from genomic sequences is a highly coveted task in biological and medical research. While machine-learning holds the key to accurate predicti…