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- Title
Accounting for non-genetic factors by low-rank representation and sparse regression for eQTL mapping.
- Authors
Yang, Can; Wang, Lin; Zhang, Shuqin; Zhao, Hongyu
- Abstract
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 confound the observed expression levels. This may both mask real associations and lead to spurious association findings.
- Publication
Bioinformatics (Oxford, England), 2013, Vol 29, Issue 8, p1026
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btt075