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Set Parameters and Data for Algorithm Two-Species Coherent Clustering
ParameterDescMinMaxSet Value
maxExprfor any gene, if its maximum expression is less than maxExpr, then this gene will be filtered-100500  
sampleSize the size of the random sample used for determining the gene distance threshold20200  
CVThr the threshold of CV (coefficient of variance) for filtering genes (genes whose CV < this value will be skipped)0100  
stepSizestep size of k0100  
percentile the parameter used for determining the gene distance threshold01  
minClusterSizecutoff for cluster size0100  
comemThrthe threshould for comembership score (if less than this threshold, then the two genes will not be connected in the graph)0100  
numIterations number of times to run K-means for each value of k01000  
kmeansSamplingRatiopercent of genes sampled for k-means0100  
stoppingThrwhen to stop K-means algorithm, expressed as the percent change of the objective function in two consective iterations of K-means0100  
kminminimum value of k to be used for K-means0100  
kmaxmaximum value of k to be used fro K-means0100  
refMaxExprfor any gene, if its maximum expression is less than maxExpr, then this gene will be filtered-100200  
refCVThr the threshold of CV (coefficient of variance) for filtering genes (genes whose CV < this value will be skipped)0100  
minOutputClusterSizeonly the clusters whose size is at least this value will be output1100  
ParameterDescSample FileUpload File
exprFileThe microarray data fileCelegans-aging-filtered.txt
refExprFileThe microarray data file for another speciesFly-aging-filtered.txt
orthologFileortholog mapping fileorth_fly_elegans.txt
File size should be less than 2MBytes