Uses matrix operations to process multiple SNP-gene pairs in parallel, known as sliced data processing Is able to perform ultra-fast eQTL analysis without loss of precision Can incorporate covariates, ...

Parallel computing continues to advance, addressing the demands of high-performance tasks such as deep learning, scientific simulations, and data-intensive computations. A fundamental operation within ...

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Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on an implementation of the technique that emphasizes simplicity and ease-of-modification over robustness and ...