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 on 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. © 2014 John Wiley & Sons, Ltd.

Goeman, J., Solari, A. (2014). Tutorial in biostatistics: multiple hypothesis testing in genomics. STATISTICS IN MEDICINE, 33(11), 1946-1978 [10.1002/sim.6082].

Tutorial in biostatistics: multiple hypothesis testing in genomics

SOLARI, ALDO
2014

Abstract

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 on 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. © 2014 John Wiley & Sons, Ltd.
Articolo in rivista - Articolo scientifico
FDR; false discovery rate; false discovery proportion; familywise error rate; Bonferroni
English
1946
1978
33
Goeman, J., Solari, A. (2014). Tutorial in biostatistics: multiple hypothesis testing in genomics. STATISTICS IN MEDICINE, 33(11), 1946-1978 [10.1002/sim.6082].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/50662
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