Cargando…
Dealing with missing phase and missing data in phylogeny-based analysis
We recently described a new method to identify disease susceptibility loci, based on the analysis of the evolutionary relationships between haplotypes of cases and controls. However, haplotypes are often unknown and the problem of phase inference is even more crucial when there are missing data. In...
Autores principales: | Bardel, Claire, Croiseau, Pascal, Génin, Emmanuelle |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367603/ https://www.ncbi.nlm.nih.gov/pubmed/18466519 |
Ejemplares similares
-
Efficiency of multiple imputation to test for association in the presence of missing data
por: Croiseau, Pascal, et al.
Publicado: (2007) -
Comparison of missing data approaches in linkage analysis
por: Xing, Chao, et al.
Publicado: (2003) -
Analysis of North American Rheumatoid Arthritis Consortium data using a penalized logistic regression approach
por: Croiseau, Pascal, et al.
Publicado: (2009) -
Imputation methods for missing data for polygenic models
por: Fridley, Brooke, et al.
Publicado: (2003) -
Dealing with missing outcome data in meta‐analysis
por: Mavridis, Dimitris, et al.
Publicado: (2019)