YANG, Zhiliang, XU, Yuyang, YAO, Minhao, WANG, Gao und LIU, Zhonghua, 2023. ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. . 1 Januar 2023. DOI 10.7916/kx4 x-e654.
Elsevier - Harvard (with titles)Yang, Z., Xu, Y., Yao, M., Wang, G., Liu, Z., 2023. ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. https://doi.org/10.7916/kx4 x-e654
American Psychological Association 7th editionYang, Z., Xu, Y., Yao, M., Wang, G., & Liu, Z. (2023). ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. https://doi.org/10.7916/kx4 x-e654
Springer - Basic (author-date)Yang Z, Xu Y, Yao M, Wang G, Liu Z (2023) ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data. https://doi.org/10.7916/kx4 x-e654
Juristische Zitierweise (Stüber) (Deutsch)Yang, Zhiliang/ Xu, Yuyang/ Yao, Minhao/ Wang, Gao/ Liu, Zhonghua, ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data, 2023.