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...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
BioMed Central
2005
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866802/ |