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NEMESIS (NEtwork MEdicine analySIS): Towards Visual Exploration of Network Medicine Data

Topics: Biomedical Visualization and Applications; Coordinated and Multiple Views; Information and Scientific Visualization; Visual Analytical Reasoning; Visual Data Analysis and Knowledge Discovery; Visualization Applications

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.

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Paper citation in several formats:
Angelini, M.; Blasilli, G.; Farina, L.; Lenti, S. and Santucci, G. (2019). NEMESIS (NEtwork MEdicine analySIS): Towards Visual Exploration of Network Medicine Data. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 322-329. DOI: 10.5220/0007577003220329

@conference{ivapp19,
author={Marco Angelini. and Graziano Blasilli. and Lorenzo Farina. and Simone Lenti. and Giuseppe Santucci.},
title={NEMESIS (NEtwork MEdicine analySIS): Towards Visual Exploration of Network Medicine Data},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP},
year={2019},
pages={322-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007577003220329},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP
TI - NEMESIS (NEtwork MEdicine analySIS): Towards Visual Exploration of Network Medicine Data
SN - 978-989-758-354-4
IS - 2184-4321
AU - Angelini, M.
AU - Blasilli, G.
AU - Farina, L.
AU - Lenti, S.
AU - Santucci, G.
PY - 2019
SP - 322
EP - 329
DO - 10.5220/0007577003220329
PB - SciTePress