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Hu YJ, Sun W, Tzeng JY, et al. Proper Use of Allele-Specific Expression Improves Statistical Power for . J Am Stat Assoc. 2015;110(511):962-974doi: 10.1080/01621459.2015.1038449.
Hu, Y. J., Sun, W., Tzeng, J. Y., & Perou, C. M. (2015). Proper Use of Allele-Specific Expression Improves Statistical Power for . Journal of the American Statistical Association, 110(511), 962-974. https://doi.org/10.1080/01621459.2015.1038449
Hu, Yi-Juan, et al. "Proper Use of Allele-Specific Expression Improves Statistical Power for ." Journal of the American Statistical Association vol. 110,511 (2015): 962-974. doi: https://doi.org/10.1080/01621459.2015.1038449
Hu YJ, Sun W, Tzeng JY, Perou CM. Proper Use of Allele-Specific Expression Improves Statistical Power for . J Am Stat Assoc. 2015;110(511):962-974. doi: 10.1080/01621459.2015.1038449. Epub 2015 Nov 07. PMID: 26568645; PMCID: PMC4642818.
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J Am Stat Assoc. 2015;110(511):962-974. doi: 10.1080/01621459.2015.1038449. Epub 2015 Nov 07.

Proper Use of Allele-Specific Expression Improves Statistical Power for .

Journal of the American Statistical Association

Yi-Juan Hu, Wei Sun, Jung-Ying Tzeng, Charles M Perou

Affiliations

  1. Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA 30322.
  2. Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599.
  3. Department of Statistics, North Carolina State University, Raleigh, NC 27695.
  4. Department of Genetics, University of North Carolina, Chapel Hill, NC 27599.

PMID: 26568645 PMCID: PMC4642818 DOI: 10.1080/01621459.2015.1038449

Abstract

Studies of expression quantitative trait loci (eQTLs) offer insight into the molecular mechanisms of loci that were found to be associated with complex diseases and the mechanisms can be classified into

Keywords: ASE; Gene expression; Haplotype; Maximum likelihood; eQTL study

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