The emerging Network Medicine domain is causing a shift between diagnosis based on the conventional reductionist approach, arguing that biological factors work in a simple linear way, and the analysis of perturbations within the comprehensive network map of molecular components and their interactions, i.e., the "Interactome". As a consequence, clinicians are investigating more than 140,000 interactions between more than 13,000 genes and their connections with drugs and diseases, along a sequence of "networks". Making sense of this complex structure is a challenging activity and the visual analytics application NEMESIS tries to attack such a problem allowing for interactively exploring this large body of knowledge, focusing on subsets of data and investigating their relationships with other relevant dimensions, pursuing the main goal of facilitating hypothesis formulation and validation
2019, VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Pages 322-329 (volume: 3)
NEMESIS (NEtwork MEdicine analySIS): Towards visual exploration of network medicine data (04b Atto di convegno in volume)
Angelini M., Blasilli G., Farina L., Lenti S., Santucci G.
Gruppo di ricerca: Bioengineering and Bioinformatics