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Set Parameters and Data for Algorithm Consensus Tight Clustering
ParameterDescMinMaxSet Value
maxExprfor any gene, if its maximum expression is less than maxExpr, then this gene will be filtered-100200  
kminminimum value of k to be used for K-means0100  
kmaxmaximum value of k to be used fro K-means0100  
stepSizestep size of k0100  
stoppingThrwhen to stop K-means algorithm, expressed as the percent change of the objective function in two consective iterations of K-means0100  
kmeansSamplingRatiopercent of genes sampled for k-means0100  
numIterations number of times to run K-means for each value of k01000  
comemThrthe threshould for comembership score (if less than this threshold, then the two genes will not be connected in the graph)0100  
minClusterSizecutoff for cluster size0100  
CVThr the threshold of CV (coefficient of variance) for filtering genes (genes whose CV < this value will be skipped)0100  
ParameterDescSample FileUpload File
dataFileThe microarray data fileColonCancerTF.txt
File size should be less than 2MBytes