Elisa Benedetti

piTracer identifies synergistic drug targets by analyzing metabolomics data to reconstruct molecular cascades and predict combination therapies.

rox is a statistical model that handles missing values in omics data by treating them as low concentrations, outperforming existing methods on simulated and metabolomics datasets.

This study identifies multi-omics prognostic signatures for prostate cancer using transcriptomics and metabolomics data, showing their ability to stratify patients into distinct risk groups.

This paper introduces a cutoff selection algorithm for correlation networks that uses prior knowledge to improve network reconstruction, showing better performance than statistical cutoffs across multiple datasets.

The paper evaluates normalization methods for glycomics data by assessing how well they enable accurate reconstruction of known glycosylation pathway reactions using Gaussian Graphical Models.