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Author: Praveen Rao
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A Scalable Tool for Democratizing Variant Calling on Human Genomes Using Commodity Clusters
source
Authors:
Chase Webb, Praveen Rao, Ajay Kumar, Matthew Schutz, Manas Jyoti Das, Khawar Shehzad, Polycarp Nalela
2024
ACM Conference on Information and Knowledge Management (CIKM 2024)
CI4Neuroscience
A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs
source
Authors:
Khawar Shehzad, Praveen Rao
2024
IEEE International Conference on Cloud Computing (CLOUD)
GAF
Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster
source
Authors:
Manas Jyoti Das, Khawar Shehzad, Praveen Rao
2023
ACM International Conference on Information and Knowledge Management (CIKM)
GAF
Explainable AI for Predicting Mortality Risk in Metastatic Cancer: Retrospective Cohort Study Using the Memorial Sloan Kettering-Metastatic Dataset
source
Authors:
Polycarp Nalela, Praveen Rao, Deepthi Rao
2026
JMIR Cancer
GAF
On Scaling Neuronal Network Simulations Using Distributed Computing
source
Authors:
Khawar Shehzad, Tyler Banks, Vladimir Omelyusik, Satish S. Nair, Praveen Rao
2024
International Workshop on Innovating the Network for Data-Intensive Science (INDIS 2024)
GAF
Optimizing the Variant Calling Pipeline Execution on Human Genomes Using GPU-Enabled Machines
source
Authors:
Praveen Rao, Peter Sanders, Ajay Kumar
2025
Companion Proceedings of the 16th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
GAF
Performance of Small Language Model Pretraining on FABRIC: An Empirical Study
source
Authors:
Praveen Rao
2026
2026 IEEE 42nd International Conference on Data Engineering Workshops (ICDEW)
GAF
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