Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies
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DOI: 10.1371/journal.pcbi.1002330
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- Joseph K. Pickrell & John C. Marioni & Athma A. Pai & Jacob F. Degner & Barbara E. Engelhardt & Everlyne Nkadori & Jean-Baptiste Veyrieras & Matthew Stephens & Yoav Gilad & Jonathan K. Pritchard, 2010. "Understanding mechanisms underlying human gene expression variation with RNA sequencing," Nature, Nature, vol. 464(7289), pages 768-772, April.
- Oliver Stegle & Leopold Parts & Richard Durbin & John Winn, 2010. "A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-11, May.
- Alexandra C Nica & Leopold Parts & Daniel Glass & James Nisbet & Amy Barrett & Magdalena Sekowska & Mary Travers & Simon Potter & Elin Grundberg & Kerrin Small & Åsa K Hedman & Veronique Bataille & Jo, 2011. "The Architecture of Gene Regulatory Variation across Multiple Human Tissues: The MuTHER Study," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-9, February.
- Jeffrey T Leek & John D Storey, 2007. "Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis," PLOS Genetics, Public Library of Science, vol. 3(9), pages 1-12, September.
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- Jin Hyun Ju & Sushila A Shenoy & Ronald G Crystal & Jason G Mezey, 2017. "An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-26, May.
- Leonardo Bottolo & Marco Banterle & Sylvia Richardson & Mika Ala‐Korpela & Marjo‐Riitta Järvelin & Alex Lewin, 2021. "A computationally efficient Bayesian seemingly unrelated regressions model for high‐dimensional quantitative trait loci discovery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 886-908, August.
- Marttinen Pekka & Gillberg Jussi & Havulinna Aki & Corander Jukka & Kaski Samuel, 2013. "Genome-wide association studies with high-dimensional phenotypes," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(4), pages 413-431, August.
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