Determining Genetic Causal Variants Through Multivariate Regression Using Mixture Model Penalty

With the availability of high-throughput sequencing data, identification of genetic causal variants accurately requires the efficient incorporation of function annotation data into the optimization routine. This motivates the need for development of novel methods for genome wide association studies...

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Detalles Bibliográficos
Autores principales: Sundar, V. S., Fan, Chun-Chieh, Holland, Dominic, Dale, Anders M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844985/
https://www.ncbi.nlm.nih.gov/pubmed/29556250
http://dx.doi.org/10.3389/fgene.2018.00077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844985/
https://www.ncbi.nlm.nih.gov/pubmed/29556250
http://dx.doi.org/10.3389/fgene.2018.00077

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