Elio Nushi

This paper develops a censoring-aware Gaussian process framework to model metatranscriptomic data from broiler meat spoilage, linking functional dynamics to spoilage phases and predicting spoilage rates.

This study uses longitudinal RNA-seq and metabolomics to identify Vagococcus proximus as a key active spoiler in broiler meat spoilage microbiomes.

This paper introduces a Bayesian model-based clustering method for gene expression time series with multiple replicates, showing improved purity and gene enrichment in synthetic and real data.