Journal
BIOINFORMATICS
Volume 25, Issue 20, Pages 2760-2761Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp432
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Funding
- The FIT-IT program [813 398]
- Fonds zur Forderung der wissenschaftlichen Forschung (FWF) [L427-N15]
- Zukunftsfonds Steiermark [3007]
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Understanding the relationships between pathways and the altered expression of their components in disease conditions can be addressed in a visual data analysis process. Caleydo uses novel visualization techniques to support life science experts in their analysis of gene expression data in the context of pathways and functions of individual genes. Pathways and gene expression visualizations are placed in a 3D scene where selected entities (i.e. genes) are visually connected. This allows Caleydo to seamlessly integrate interactive gene expression visualization with cross-database pathway exploration.
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