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American Psychological Association 6th edition

Zhang Y, Hatch KA, Bacon J, & Wernisch L. (2010). An integrated machine learning approach for predicting Dos R-regulated genes in Mycobacterium tuberculosis. BMC Systems Biology, 4, 37-37. https://doi.org/10.1186/1752-0509-4-37

ISO-690 (author-date, English)

ZHANG Y, HATCH KA, BACON J and WERNISCH L, 2010. An integrated machine learning approach for predicting Dos R-regulated genes in Mycobacterium tuberculosis. BMC systems biology. 31 March 2010. Vol. 4, , p. 37-37. DOI 10.1186/1752-0509-4-37.

Modern Language Association 9th edition

Zhang Y, Hatch KA, Bacon J, and Wernisch L. “An Integrated Machine Learning Approach for Predicting Dos R-Regulated Genes in Mycobacterium Tuberculosis.”. BMC Systems Biology, vol. 4, Mar. 2010, pp. 37-37, https://doi.org/10.1186/1752-0509-4-37.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zhang Y/Hatch KA/Bacon J/Wernisch L: An integrated machine learning approach for predicting Dos R-regulated genes in Mycobacterium tuberculosis., BMC systems biology 2010, 37-37.

Emerald - Harvard

Zhang Y, Hatch KA, Bacon J and Wernisch L. (2010), “An integrated machine learning approach for predicting Dos R-regulated genes in Mycobacterium tuberculosis.”, BMC Systems Biology, Vol. 4, pp. 37-37.

Warning: These citations may not always be 100% accurate.