Authors:
Marco Angelini
;
Graziano Blasilli
;
Lorenzo Farina
;
Simone Lenti
and
Giuseppe Santucci
Affiliation:
DIAG, Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University of Rome and Italy
Keyword(s):
Network Medicine, Visual Analytics, Interactome.
Related
Ontology
Subjects/Areas/Topics:
Abstract Data Visualization
;
Biomedical Visualization and Applications
;
Computer Vision, Visualization and Computer Graphics
;
Coordinated and Multiple Views
;
General Data Visualization
;
Information and Scientific Visualization
;
Spatial Data Visualization
;
Visual Analytical Reasoning
;
Visual Data Analysis and Knowledge Discovery
;
Visualization Applications
Abstract:
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.