Cargando…
Probability genotype imputation method and integrated weighted lasso for QTL identification
BACKGROUND: Many QTL studies have two common features: (1) often there is missing marker information, (2) among many markers involved in the biological process only a few are causal. In statistics, the second issue falls under the headings “sparsity” and “causal inference”. The goal of this work is...
Autores principales: | Demetrashvili, Nino, Van den Heuvel, Edwin R, Wit, Ernst C |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126192/ https://www.ncbi.nlm.nih.gov/pubmed/24378210 http://dx.doi.org/10.1186/1471-2156-14-125 |
Ejemplares similares
-
Combining Multiple Imputation and Inverse-Probability
Weighting
por: Seaman, Shaun R, et al.
Publicado: (2012) -
Imputation of missing genotypes: an empirical evaluation of IMPUTE
por: Zhao, Zhenming, et al.
Publicado: (2008) -
Novel methods for genotype imputation to whole-genome sequence and a simple linear model to predict imputation accuracy
por: Larmer, Steven G., et al.
Publicado: (2017) -
Whole genome SNP genotype piecemeal imputation
por: Wang, Yining, et al.
Publicado: (2015) -
Tailored graphical lasso for data integration in gene network reconstruction
por: Lingjærde, Camilla, et al.
Publicado: (2021)