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dc.contributor.authorOchs, Michael F.
dc.contributor.authorBidaut, Ghislain
dc.date.accessioned2018-05-12T18:34:22Z
dc.date.available2018-05-12T18:34:22Z
dc.date.issued2004
dc.identifier.citationBidaut, G., & Ochs, M. (2004). ClutrFree: Cluster tree visualization and interpretation. Bioinformatics, 20(16), 2869-2871.en_US
dc.identifier.urihttp://dx.doi.org/10.1093/bioinformatics/bth307
dc.descriptionFile not available for download due to copyright restrictionsen_US
dc.description.abstractClutrFree facilitates the visualization and interpretation of clusters or patterns computed from microarray data through a graphical user interface that displays patterns, membership information of the genes and annotation statistics simultaneously. ClutrFree creates a tree linking the patterns based on similarity, permitting the navigation among patterns identified by different algorithms or by the same algorithm with different parameters, and aids the inferring of conclusions from a microarray experiment.en_US
dc.language.isoen_USen_US
dc.publisherOxford University Pressen_US
dc.titleClutrFree: cluster tree visualization and interpretationen_US
dc.typeArticleen_US
dc.typeTexten_US
prism.publicationNameBioinformatics
prism.volume20
prism.issueIdentifier16
prism.publicationDate2004
prism.startingPage2869
prism.endingPage2871
dc.identifier.handlehttps://dr.tcnj.edu/handle/2900/2423


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