Selected article for: "false discovery rate and FDR false discovery rate control"

Author: Brandon Malone; Boris Simovski; Clement Moline; Jun Cheng; Marius Gheorghe; Hugues Fontenelle; Ioannis Vardaxis; Simen Tennoe; Jenny-Ann Malmberg; Richard Stratford; Trevor Clancy
Title: Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2: toward universal blueprints for vaccine designs
  • Document date: 2020_4_21
  • ID: cm30gyd8_64
    Snippet: To sample from the null model, each of the k HLA tracks is divided in segments and gaps, which are then shuffled to produce a randomized HLA track. This is repeated 10000 times, to produce 10000 samples of Si statistic for each bin. For each bin, the p-value is estimated as the proportion of the samples that are equal or larger then the truly observed enrichment. Further, the generated p-values are adjusted for multiple testing with the Benjamini.....
    Document: To sample from the null model, each of the k HLA tracks is divided in segments and gaps, which are then shuffled to produce a randomized HLA track. This is repeated 10000 times, to produce 10000 samples of Si statistic for each bin. For each bin, the p-value is estimated as the proportion of the samples that are equal or larger then the truly observed enrichment. Further, the generated p-values are adjusted for multiple testing with the Benjamini-Yekutieli procedure to control for a false discovery rate (FDR) of 0.05.

    Search related documents:
    Co phrase search for related documents