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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2018
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| Materias: | |
| 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 |