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
NEMESIS (NEtwork MEdicine analySIS): Towards visual exploration of network medicine data / Angelini, M.; Blasilli, G.; Farina, L.; Lenti, S.; Santucci, G.. - 3:(2019), pp. 322-329. (Intervento presentato al convegno 10th International Conference on Information Visualization Theory and Applications, IVAPP 2019 - Part of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019 tenutosi a Prague; Czech Republic; 25 February 2019 through 27 February 2019; Code 146941) [10.5220/0007577003220329].
NEMESIS (NEtwork MEdicine analySIS): Towards visual exploration of network medicine data
Angelini M.
Co-primo
;Blasilli G.
Co-primo
;Farina L.
Co-primo
;Lenti S.
Co-primo
;Santucci G.
Co-primo
2019
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| File | Dimensione | Formato | |
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Angelini_NEMESIS_2019.pdf
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Note: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0007577003220329
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