Digital pathology as a proxy for molecular profiling of prostate tumors

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

AI applications in bioinformatics

Bioinformatics: from nucleotids to networks (N2N)

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

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

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

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

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

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

Network-guided analysis of genotype and expression phenotype data

Systems genetics: studying clonal evolution

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