SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

dyn.load("piWithInterrupts.so")
#res <- .Call("PiLeibniz", n=1e9, frequency=1e6)
res <- .Call("PiLeibniz", n=1e9, frequency=1e6)
print(res, digits=10)

arodri7/SAIGE-GPU documentation built on Nov. 14, 2020, 5:44 a.m.

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arodri7/SAIGE-GPU
Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/Rcpp/examples/OpenMP/check.R
In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

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arodri7/SAIGE-GPU Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/Rcpp/examples/OpenMP/check.R In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

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We want your feedback!

arodri7/SAIGE-GPU
Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)

lib/Rcpp/examples/OpenMP/check.R
In arodri7/SAIGE-GPU: Efficiently controlling for case-control imbalance and sample relatedness in single-variant assoc tests (SAIGE) and controlling for sample relatedness in region-based assoc tests in large cohorts and biobanks (SAIGE-GENE)