Power and type I error rate of false discovery rate approaches in genome-wide association studies

In genome-wide genetic studies with a large number of markers, balancing the type I error rate and power is a challenging issue. Recently proposed false discovery rate (FDR) approaches are promising solutions to this problem. Using the 100 simulated datasets of a genome-wide marker map spaced about...

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Detalles Bibliográficos
Autores principales: Yang, Qiong, Cui, Jing, Chazaro, Irmarie, Cupples, L Adrienne, Demissie, Serkalem
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866802/
https://www.ncbi.nlm.nih.gov/pubmed/16451593
http://dx.doi.org/10.1186/1471-2156-6-S1-S134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866802/
https://www.ncbi.nlm.nih.gov/pubmed/16451593
http://dx.doi.org/10.1186/1471-2156-6-S1-S134

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