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Treeview 3.0 is an open-source Java app for visualizing large data matrices. It enables the user to load a dataset, navigate it, cluster it, customize its appearance and export it (or parts of it) into a figure. This upload corresponds to the alpha 3 version of Treeview 3.0 which was publicly released on July 5, 2016. More recent versions, as well as the source code, the issue tracker and the developer community, can be reached at https://bitbucket.org/TreeView3Dev/treeview3/.
{"references": ["Saldanha AJ, \"Java Treeview -- extensible visualization of microarray data\", Bioinformatics, 2004, 20(17):3246-3248", "Eisen MB, Spellman PT, Brown PO, Botstein D, \"Cluster analysis and display of genome-wide expression patterns\", PNAS, 1998, 95:14863-14868"]}
data matrix, clustergram, visualization, clustering
data matrix, clustergram, visualization, clustering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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