American Psychological Association 6th edition

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

ISO-690 (author-date, English)

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.

Modern Language Association 9th edition

Yang, Z., Y. Xu, M. Yao, G. Wang, und Z. Liu. ERStruct: A Fast Python Package for Inferring the Number of Top Principal Components from Whole Genome Sequencing Data. Januar 2023, https://doi.org/10.7916/kx4 x-e654.

Mohr Siebeck - Recht (Deutsch - Österreich)

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,

Emerald - Harvard

Yang, Z., Xu, Y., Yao, M., Wang, G. und Liu, Z. (2023), „ERStruct: a fast Python package for inferring the number of top principal components from whole genome sequencing data“, verfügbar unter:https://doi.org/10.7916/kx4 x-e654.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.