ClustEval specifications
- Unique identifier:
- OMICS_11893
- Restrictions to use:
- None
- Stability:
- Stable
- Interface:
- Web user interface
- Computer skills:
- Basic
- Maintained:
- Yes
ClustEval support
Maintainer
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Publications
-
(Wiwie et al., 2015)
Comparing the performance of biomedical clustering methods.
Nat Methods.
PMID: 26389570
Institution(s)
Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark; Computational Systems Biology, Max Planck Institute for Informatics, Saarbrücken, Germany; Cluster of Excellence for Multimodal Computing and Interaction, Saarland University, Saarbrücken, Germany
Funding source(s)
The SDU2020 funding initiative at the University of Southern Denmark; the International Max Planck Research School on Computer Science; the Saarland University Graduate School for Computer Science; the Cluster of Excellence for Multimodal Computing and Interaction (MMCI)
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