American Psychological Association 6th edition

Liu, Y., Li, B., Tan, R., Zhu, X., & Wang, Y. (2014). A gradient-boosting approach for filtering de novo mutations in parent–offspring trios. Bioinformatics, 30(13), 1830-1836. https://doi.org/10.1093/bioinformatics/btu141

ISO-690 (author-date, English)

LIU, Yongzhuang, LI, Bingshan, TAN, Renjie, ZHU, Xiaolin und WANG, Yadong, 2014. A gradient-boosting approach for filtering de novo mutations in parent–offspring trios. Bioinformatics. 1 Juli 2014. Vol. 30, no. 13, p. 1830-1836. DOI 10.1093/bioinformatics/btu141.

Modern Language Association 9th edition

Liu, Y., B. Li, R. Tan, X. Zhu, und Y. Wang. „A Gradient-Boosting Approach for Filtering De Novo Mutations in parent–offspring Trios.“. Bioinformatics, Bd. 30, Nr. 13, Juli 2014, S. 1830-6, https://doi.org/10.1093/bioinformatics/btu141.

Mohr Siebeck - Recht (Deutsch - Österreich)

Liu, Yongzhuang/Li, Bingshan/Tan, Renjie/Zhu, Xiaolin/Wang, Yadong: A gradient-boosting approach for filtering de novo mutations in parent–offspring trios., Bioinformatics 2014, 1830-1836.

Emerald - Harvard

Liu, Y., Li, B., Tan, R., Zhu, X. und Wang, Y. (2014), „A gradient-boosting approach for filtering de novo mutations in parent–offspring trios.“, Bioinformatics, Vol. 30 No. 13, S. 1830-1836.

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