We support Open Science
The Holzinger Group is dedicated to contribute to the international research community and to make our scientific research output, data and dissemination accessible to the international research community and society on all levels. Consequently, we support the open science movement and foster open data, open source and open access.
– GraphiniusJS (Base Library)
– GraphiniusVIS (Visualization Module)
Holzinger, A., Malle, B. & Giuliani, N. 2014. On Graph Extraction from Image Data. In: Slezak, D., Peters, J. F., Tan, A.-H. & Schwabe, L. (eds.) Brain Informatics and Health, BIH 2014, Lecture Notes in Artificial Intelligence, LNAI 8609. Heidelberg, Berlin: Springer, pp. 552-563.
KNOTWAT is programmed in Java, and platform independent.
Holzinger, A. & Zupan, M. 2013. KNODWAT: A scientific framework application for testing knowledge discovery methods for the biomedical domain. BMC Bioinformatics, 14, (1), 191.
Project TUGROVIS – 3R – Refine – Reduce – Replace – towards in-silico tumor-growth visualization
Current work includes a project dealing with visualization support for in silico medicine. Together with a domain expert in Biochemistry we managed to implement a simulation tool for cancer growth visualization:
Jeanquartier, F., Jean-Quartier, C., & Holzinger, A. (2015). Integrated web visualizations for protein-protein interaction databases. BMC Bioinformatics, 16(1), 195.
Jeanquartier, F., Jean-Quartier, C., & Holzinger, A. (2015). Visualizing Uncertainty of RNA Sequence Base Pairing Variants. In BioVis 5th Symposium on Biological Data Visualization, Design Contest.
Next steps are a first journal publication to present this tool, followed by case studies and to raise funding for this topic to consolidate our research activities.