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Examples

  • 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

    Recently Uploaded Slideshows 2008

  • 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

    Recently Uploaded Slideshows 2008

  • 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

    Recently Uploaded Slideshows 2008

  • 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

    Recently Uploaded Slideshows 2008

  • 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

    Recently Uploaded Slideshows 2008

  • 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

    Recently Uploaded Slideshows 2008

  • It's also interesting that the driver supports DirectX Compute, which is Microsoft's own GPGPU API.

    bit-tech.net Feed 2009

  • OpenStack Compute which is based on Cloud Servers and NASA Nebula Cloud Platform.

    Megite Technology News: What's Happening Right Now 2010

  • NameProperty, "Compute")); if (aeButton = = null) throw new Exception ( "No compute button"); else Console.

    MSDN Magazine: RSS Feed 2009

  • This is actually from an old Compute! issue and was for the IBM PC.

    The original 40-button mouse - Boing Boing 2009

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