MLA
Zhabotynsky, Vasyl, et al. Eqtl Mapping Using Allele-specific Count Data Is Computationally Feasible, Powerful, and Provides Individual-specific Estimates of Genetic Effects. 2022. https://doi.org/10.17615/ynw8-tw58
APA
Zhabotynsky, V., Huang, L., Little, P., Hu, Y., De Villena, F., Zou, F., & Sun, W. (2022). eQTL mapping using allele-specific count data is computationally feasible, powerful, and provides individual-specific estimates of genetic effects. https://doi.org/10.17615/ynw8-tw58
Chicago
Zhabotynsky, Vasyl, Licai Huang, Paul Little, Yi Juan Hu, Fernando Pardo Manuel De Villena, Fei Zou, and Wei Sun. 2022. Eqtl Mapping Using Allele-Specific Count Data Is Computationally Feasible, Powerful, and Provides Individual-Specific Estimates of Genetic Effects. https://doi.org/10.17615/ynw8-tw58