Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data

In genomic data analysis, it is commonplace that underlying regulatory relationship over multiple genes is hardly ascertained due to unknown genetic complexity and epigenetic regulations. In this paper, we consider a joint mean and constant covariance model (JMCCM) that elucidates conditional depend...

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Detalles Bibliográficos
Autores principales: Lee, JungJun, Kim, SungHwan, Jhong, Jae-Hwan, Koo, Ja-Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036858/
https://www.ncbi.nlm.nih.gov/pubmed/30046352
http://dx.doi.org/10.1155/2018/4626307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6036858/
https://www.ncbi.nlm.nih.gov/pubmed/30046352
http://dx.doi.org/10.1155/2018/4626307

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