Laura Fancello

This study benchmarks miRNA target prediction algorithms using single-cell co-sequencing data, showing varying performance across species and target numbers.

The paper introduces Pirat, a method for imputing missing values in proteomics data by modeling instrument limits and peptide correlations, showing improved performance over existing methods.

The paper evaluates transcriptome-informed proteogenomic databases, finding increased peptide sensitivity is a statistical artifact, but transcriptome data reduces protein identification ambiguity.