DASS
:: DESCRIPTION
DASS (Discovery of All Significant Substructures) that first identifies all substructures in unordered data (DASSSub) in a manner that is especially efficient for modular data. In addition, DASS calculates the statistical significance of the identified substructures, for sets with at most one element of each type (DASSPset), or for sets with multiple occurrence of elements (DASSPmset).
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::DEVELOPER
Dr. Maik Friedel , J.Hollunder
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Windows / Linux
:: DOWNLOAD
:: MORE INFORMATION
Citation
DASS: Efficient Discovery and P-Value Calculation of Substructures in Unordered Data
Jens Hollunder, Maik Friedel, Andreas Beyer, Christopher T. Workman, Thomas Wilhelm
Bioinformatics (2007), 23(1): 77-83.