ConTour: Data-Driven Exploration of Multi-Relational Datasets for Drug Discovery (Poster)

C. Partl, A. Lex, Marc Streit, H. Strobelt, A. M. Wassermann, HP Pfister, D. Schmalstieg

Research output: Other contribution

Abstract

Large scale data analysis is nowadays a crucial part of drug discovery. Multiple interrelated datasets need to be investigated to evaluate po- tentially effective yet safe drugs. ConTour is a visual analysis system for the interactive exploration of these complex datasets. It employs several intuitive interaction techniques to reveal relationships between data items and provides analytical methods to judge the quality of these relationships. Diverse filters can be used to reduce the data space and advanced visualizations of data items at different levels of detail provide the analyst with enough information to make profound decisions during the data exploration.
Original languageEnglish
Publication statusPublished - Nov 2014

Fields of science

  • 102 Computer Sciences
  • 102003 Image processing
  • 102008 Computer graphics
  • 102015 Information systems
  • 102020 Medical informatics
  • 103021 Optics

JKU Focus areas

  • Engineering and Natural Sciences (in general)

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