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An improved method for computing q-values when the distribution of effect sizes is asymmetric

Motivation: Asymmetry is frequently observed in the empirical distribution of test statistics that results from the analysis of gene expression experiments. This asymmetry indicates an asymmetry in the distribution of effect sizes. A common method for identifying differentially expressed (DE) genes...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Bioinformatics
Main Authors: Orr, Megan, Liu, Peng, Nettleton, Dan
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2014
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4609005/
https://ncbi.nlm.nih.gov/pubmed/25024290
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu432
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