Multiple hypothesis testing in genomics – Goeman – 2014 – Statistics in Medicine – Wiley Online Library

Multiple hypothesis testing in genomics Nice overview, comparing familywise error & FDR control + FDP estimation

This paper presents an overview of the current state-of-the-art in multiple testing in genomics data from a user’s perspective. We describe methods for familywise error control, false discovery rate control and false discovery proportion estimation and confidence, both conceptually and practically, and explain when to use which type of error rate. We elaborate the assumptions underlying the methods, and discuss pitfalls in the interpretation of results. In our discussion we take into account the exploratory nature of genomics experiments, looking at selection of genes before or after testing, and at the role of validation experiments.

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