For each transcript, we counted the number of experiments where the significance for differential expression was ≤0.05, and then generated the binomial probability, referred to as the consensome p value (CPV), of observing that many or more nominally significant experiments out of the number of experiments in which the transcript was assayed, given a true probability of 0.05. p values were adjusted using the p.adj function in R to generate q values (CQV).
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Transcriptional regulatory networks of circulating immune cells in type 1 diabetes: A community knowledgebase.
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