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Examples
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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Slide 30: The SAM process • Perform permutation and compute test statistics for each permutation • Rank test statistics in ascending order • Compute mean test statistics for each "rank" over all permutations • Plot original "ranked" test Statistic Versus Mean test statistic from permutations • Define distance from mean permuted value you call significant • Compute false discovery rate for this value • Iterate until you get appropriate FDR
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It's also interesting that the driver supports DirectX Compute, which is Microsoft's own GPGPU API.
bit-tech.net Feed 2009
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OpenStack Compute which is based on Cloud Servers and NASA Nebula Cloud Platform.
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NameProperty, "Compute")); if (aeButton = = null) throw new Exception ( "No compute button"); else Console.
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This is actually from an old Compute! issue and was for the IBM PC.
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