Application of Bayesian network structure learning to identify causal variant SNPs from resequencing data

Using single-nucleotide polymorphism (SNP) genotypes from the 1000 Genomes Project pilot3 data provided for Genetic Analysis Workshop 17 (GAW17), we applied Bayesian network structure learning (BNSL) to identify potential causal SNPs associated with the Affected phenotype. We focus on the setting in...

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Detalles Bibliográficos
Autores principales: Schlosberg, Christopher E, Schwantes-An, Tae-Hwi, Duan, Weimin, Saccone, Nancy L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287832/
https://www.ncbi.nlm.nih.gov/pubmed/22373088
http://dx.doi.org/10.1186/1753-6561-5-S9-S109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287832/
https://www.ncbi.nlm.nih.gov/pubmed/22373088
http://dx.doi.org/10.1186/1753-6561-5-S9-S109

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