ClustEval specifications

Information


Unique identifier OMICS_11893
Name ClustEval
Interface Web user interface
Restrictions to use None
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


Additional information


https://clusteval.readthedocs.io/en/stable/download.html#installdocker

Information


Unique identifier OMICS_11893
Name ClustEval
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages Java, R
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


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Maintainer


Additional information


https://clusteval.readthedocs.io/en/stable/download.html#installdocker

Publications for ClustEval

library_books

Comparing the performance of biomedical clustering methods.

2015 Nat Methods
PMID: 26389570

ClustEval in publication

PMCID: 5635593
PMID: 26475317
DOI: 10.1093/gbe/evv200

[…] computational analyses were generated in r (http://www.r-project.org, last accessed october 28, 2015), or bioconductor (http://www.bioconductor.org, last accessed october 28, 2015), using r packages clusteval, ggbiplot, ggplot2, gplots, grdevices, mclust, and rcolorbrewer., the clustering analysis of sequence conservation features was performed as previously described for the floral organ […]


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ClustEval institution(s)
Institute of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark; Department of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
ClustEval funding source(s)
Supported by the VILLUM foundation (Young Investigator grant no. 13154) as well as the Vice Chancellor’s research fund at the University of Southern Denmark (SDU2020 grant MeDA).

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