The RCX extension hub: a resource for implementations extending the R adaption of the cytoscape exchange format

  • Public repositories provide access to biological networks for investigations, and subsequently serve to distribute the network encoded biomedical and even clinically relevant results. However, inclusion of complementary information requires data structures and implementations customized to the integrated data for network representation, usage in supporting application, and extending analysis functionality. Partitioning of this information into individual aspects of a network facilitates compatibility and reusability of the network-based results, but also requires support and accessibility of the extensions and their implementations. The RCX extension hub offers overview and access to extensions of the Cytoscape exchange format implemented in R. The hub supports the realization of self-customized extension through guides, example implementations, and a template for the creation of R extension packages.

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Metadaten
Author:Florian AuerORCiDGND, Nadja Bramkamp (Beckmann)ORCiD, Simone MayerORCiD, Dominik MüllerORCiDGND, Frank KramerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1046236
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/104623
ISBN:9781643683881OPAC
ISBN:9781643683898OPAC
ISSN:0926-9630OPAC
ISSN:1879-8365OPAC
Parent Title (English):Caring is sharing – exploiting the value in data for health and innovation
Publisher:IOS Press
Place of publication:Amsterdam
Editor:Maria Hägglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, Parisis Gallos
Type:Part of a Book
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2023/06/12
First Page:1075
Last Page:1076
Series:Studies in Health Technology and Informatics ; 302
DOI:https://doi.org/10.3233/shti230352
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für IT-Infrastrukturen für die Translationale Medizinische Forschung
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell (mit Print on Demand)

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