optCluster v1.1.0
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Determine Optimal Clustering Algorithm and Number of Clusters
Cluster analysis using statistical and biological
validation measures for both continuous and count data.
Functions in optCluster
| Name | Description | |
| valPlot | Validation Measure Plots | |
| aggregPlot | Rank Aggregation Plot | |
| optCluster | Determine Optimal Clustering Algorithm and Number of Clusters | |
| optCluster-class | Class "optCluster" | |
| repRankAggreg | Repeat Rank Aggregation | |
| optHeatmap | Optimal Hierarchical Clustering Heat Map | |
| arabid | Subset of Arabidopsis RNA-Seq Data | |
| No Results! | ||
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Details
| Date | 2016-3-25 |
| LazyLoad | true |
| Collate | optCluster-Classes.R optCluster-Methods.R optCluster-Internal.R optCluster-Functions.R |
| License | GPL (>= 2) |
| NeedsCompilation | no |
| Packaged | 2016-03-25 18:30:48 UTC; michaelsekula |
| Repository | CRAN |
| Date/Publication | 2016-03-26 15:56:07 |
| suggests | annotate , Biobase , GO , GO.db , org , org.At.tair.db |
| depends | base (>= 3.0) , R (>= 3.0) |
| imports | cluster , clValid , gplots , graphics , grDevices , kohonen , MBCluster , MBCluster.Seq , mclust , methods , RankAggreg , stats , utils |
| Contributors | Susmita Datta, Somnath Datta, Michael Sekula |
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