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Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping
Motivation: Expression quantitative trait loci (eQTL) studies investigate how gene expression levels are affected by DNA variants. A major challenge in inferring eQTL is that a number of factors, such as unobserved covariates, experimental artifacts and unknown environmental perturbations, may confo...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3624800/ https://ncbi.nlm.nih.gov/pubmed/23419377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt075 |
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