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

Marco Angelini, Graziano Blasilli, Lorenzo Farina, Simone Lenti, Giuseppe Santucci

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 Harvard Style

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 - Volume 3: IVAPP, ISBN 978-989-758-354-4, pages 322-329. DOI: 10.5220/0007577003220329


in Bibtex Style

@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 - Volume 3: IVAPP,},
year={2019},
pages={322-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007577003220329},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - NEMESIS (NEtwork MEdicine analySIS): Towards Visual Exploration of Network Medicine Data
SN - 978-989-758-354-4
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