Required Fields:
Email Address:
Array Matrix File :
(example) 
Types of Module:

Mining Real Data
Number of Modules :
Mask previous results:
Allow duplicated results :
No Yes
Permutation Test
Number of Permutations:
Shuffling Sample Labels
Matrix Values
(only if the sample features are provided)

Processing the Data
Upper bound values greater than:
(before Log and normalization)
Lower bound values smaller than:
(before Log and normalization)
Transformation No
transformation Log
transformation
Normalization by shifting and scaling the data into : 
Constraints on the Size of Modules: Minimal number/fraction
of Columns:
Maximal number/fraction of Columns :
Minimal number of Rows :
Maximal number of Rows: 
Maximization Criteria / Type of scores
Apply Enrichment Constraint on Gene Features :
Yes
No
Add bonus score from :
Sample metrics enrichment (weight =
)
Sample weight bias statistics ( weight =
) 
Gene Features:

Constraints on Gene Features 

Sample
Features: 
Constraints on Sample Features 


