OSCAR
Set Parameters and Data for Algorithm Two-Species Coherent Clustering
Parameter
Desc
Min
Max
Set Value
maxExpr
for any gene, if its maximum expression is less than maxExpr, then this gene will be filtered
-100
500
sampleSize
the size of the random sample used for determining the gene distance threshold
20
200
CVThr
the threshold of CV (coefficient of variance) for filtering genes (genes whose CV < this value will be skipped)
0
100
stepSize
step size of k
0
100
percentile
the parameter used for determining the gene distance threshold
0
1
minClusterSize
cutoff for cluster size
0
100
comemThr
the threshould for comembership score (if less than this threshold, then the two genes will not be connected in the graph)
0
100
numIterations
number of times to run K-means for each value of k
0
1000
kmeansSamplingRatio
percent of genes sampled for k-means
0
100
stoppingThr
when to stop K-means algorithm, expressed as the percent change of the objective function in two consective iterations of K-means
0
100
kmin
minimum value of k to be used for K-means
0
100
kmax
maximum value of k to be used fro K-means
0
100
refMaxExpr
for any gene, if its maximum expression is less than maxExpr, then this gene will be filtered
-100
200
refCVThr
the threshold of CV (coefficient of variance) for filtering genes (genes whose CV < this value will be skipped)
0
100
minOutputClusterSize
only the clusters whose size is at least this value will be output
1
100
Parameter
Desc
Sample File
Upload File
exprFile
The microarray data file
Celegans-aging-filtered.txt
refExprFile
The microarray data file for another species
Fly-aging-filtered.txt
orthologFile
ortholog mapping file
orth_fly_elegans.txt
File size should be less than 2MBytes