Author

Mulya Agung

University of EdinburghORCID 0000-0001-9521-2177Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Albert Tenesa· 1 shared

Activity by Year

2024-2024 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 15, 2024

GWA-X: An Extensible GPU Accelerated Package for Permutation Testing in Genome-Wide Association Studies

Mulya Agung, Albert Tenesa

GWA-X accelerates permutation testing in GWAS using GPU acceleration, achieving a two-order magnitude speed-up over existing methods.

1 citation

GWAS summary statisticsstatistical model

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