eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects | Zendy

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eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects

Author(s) -

Vasyl Zhabotynsky,

Licai Huang,

Paul Little,

YiJuan Hu,

Fernando PardoManuel de Villena,

Fei Zou,

Wei Sun

Publication year - 2022

Publication title -

carolina digital repository (university of north carolina at chapel hill)

Language(s) - English

DOI - 10.17615/ynw8-tw58

Subject(s) - computational biology , expression quantitative trait loci , count data , allele , biology , computer science , genetics , mathematics , statistics , gene , genotype , single nucleotide polymorphism , poisson distribution

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