Digital pathology as a proxy for molecular profiling of prostate tumors

Deep learning models for predicting molecular tumor properties directly from Whole Slide images

A data-driven integrative framework for the identification of cancer driver pathways and their mode of action.

Forwarding precision oncology by integrating cohort-derived molecular and clinical information.

Leveraging comprehensive cancer systems genetic data to uncover the modus operandi of driver mutations

The importance of epistasis and network rewiring in determining the adaptive outcome of bacterial populations subjected to antibiotic gradients

More rapid and accurate identification of (zoonotic) Salmonella serotypes subjected to official control in poultry and pork

Genetic adaption of bacterial catabolic pathways for pesticide biodegradation: role of historical contingency

Network-based approaches for the identification and mode of action determination of anti-bacterial agents

Network-guided analysis of genotype and expression phenotype data

Bioinformatics: from nucleotids to networks (N2N)