SLINGER: large-scale learning for predicting gene expression

Recent studies have established that single nucleotide polymorphisms are sufficient to build accurate predictive models of gene expression. Gamazon, et al., found that gene expression values predicted from cis neighborhood SNPs show statistical association with disease status. In this work, we remov...

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Detalles Bibliográficos
Autores principales: Vervier, Kévin, Michaelson, Jacob J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171717/
https://www.ncbi.nlm.nih.gov/pubmed/27996030
http://dx.doi.org/10.1038/srep39360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171717/
https://www.ncbi.nlm.nih.gov/pubmed/27996030
http://dx.doi.org/10.1038/srep39360

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