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Journal of Biomedical Informatics|May 13, 2022
FIRLA: a Fast Incremental Record Linkage AlgorithmAhmed Soliman, Sanguthevar Rajasekaran
Human Genomics|November 10, 2021
A robust and stable gene selection algorithm based on graph theory and machine learningSubrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 27, 2021
A Novel Pathway Network Analytics Method Based on Graph TheorySubrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
Scientific Reports|February 25, 2023
A fast privacy-preserving patient record linkage of time series dataAhmed Soliman, Sanguthevar Rajasekaran, Patrick Toman, et al.
The Journal of Physical Chemistry. A|September 29, 2023
KE: A Knowledge Enhancing Framework for Machine Learning ModelsYijue Wang, Nidhibahen Shah, Ahmed Soliman, et al.
Frontiers in Bioscience (Landmark Edition)|June 2, 2009
Computational techniques for motif searchSanguthevar Rajasekaran
IEEE Transactions on Nanobioscience|March 31, 2007
An efficient algorithm for minimum degeneracy primer selectionSudha Balla, Sanguthevar Rajasekaran
BMC Bioinformatics|May 18, 2013
Efficient algorithms for biological stems searchTian Mi, Sanguthevar Rajasekaran
Scientific Reports|January 16, 2015
qPMS9: an efficient algorithm for quorum Planted Motif SearchMarius Nicolae, Sanguthevar Rajasekaran
Bioinformatics (Oxford, England)|August 4, 2016
NRGC: a novel referential genome compression algorithmSubrata Saha, Sanguthevar Rajasekaran
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