GIGI2: A Fast Approach for Parallel Genotype Imputation in Large Pedigrees
Ehsan Ullah, Khalid B. Kunji, Ellen M. Wijsman, Mohamad Saad
GIGI2 improves genotype imputation in large pedigrees with faster computation and reduced memory usage.
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Hamad bin Khalifa UniversityORCID 0000-0002-9881-6731Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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Ehsan Ullah, Khalid B. Kunji, Ellen M. Wijsman, Mohamad Saad
GIGI2 improves genotype imputation in large pedigrees with faster computation and reduced memory usage.
Ehsan Ullah, Saila Shama, Noora Al Muftah…·Halima Bensmail
The paper identifies cancer gene biomarkers associated with drug sensitivity and provides open-source tools for analysis.
Raghvendra Mall, Ehsan Ullah, Khalid B. Kunji…·Michele Ceccarelli
This paper introduces DCD, a method to detect differential sub-networks in paired biological networks, showing it outperforms existing methods in simulated and real cancer datasets.
Raghvendra Mall, Reda Rawi, Ehsan Ullah…·Halima Bensmai
The paper applies high-dimensional statistical and network visualization techniques to Arab diabetes and obesity data to identify key biomarkers and interactions associated with the diseases.