Cargando…
Improving Power of Genome-Wide Association Studies with Weighted False Discovery Rate Control and Prioritized Subset Analysis
The issue of large-scale testing has caught much attention with the advent of high-throughput technologies. In genomic studies, researchers are often confronted with a large number of tests. To make simultaneous inference for the many tests, the false discovery rate (FDR) control provides a practica...
Autores principales: | Lin, Wan-Yu, Lee, Wen-Chung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3322139/ https://www.ncbi.nlm.nih.gov/pubmed/22496761 http://dx.doi.org/10.1371/journal.pone.0033716 |
Ejemplares similares
-
Power and type I error rate of false discovery rate approaches in genome-wide association studies
por: Yang, Qiong, et al.
Publicado: (2005) -
Comparison of false-discovery rate for genome-wide and fine mapping regions
por: Tabangin, Meredith E, et al.
Publicado: (2007) -
A Fuzzy Permutation Method for False Discovery Rate Control
por: Yang, Ya-Hui, et al.
Publicado: (2016) -
False discovery rate control in genome-wide association studies with population structure
por: Sesia, Matteo, et al.
Publicado: (2021) -
Importance of presenting the variability of the false discovery rate control
por: Lin, Yi-Ting, et al.
Publicado: (2015)