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 editionYang, 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 - HarvardYang, 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.