The display shows the score assigned to each tested case. If cross-validation is utilized an accuracy estimate is presented. Cases are sorted by classification score. The graphic displays only the twenty most predictive features with a score indicating predictive values. Using this approach the user can cluster data based on some specified metric into a number of clusters.
Users can cluster arrays or genes as desired into a pre-specified number of clusters.
The algorithm has a randomized starting point so results may vary from run to run. File Format As indicated above, the one file containing the data must contain array data in tab-delimeted format. The user can choose to cluster on the arrays or the genes in the file by appropriately clicking on the button at the top of the page. A number of metric are provided for analysis. Euclidean Distance each data case is treated like a vector distances are calculated correspondingly.