APA (7th ed.) Citation

AM, S., JR, W., J, L., CB, D., P, H., MR, H., . . . CK, F. (2020). Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC bioinformatics, 21(1), 119. https://doi.org/10.1186/s12859-020-3427-8

Chicago Style (17th ed.) Citation

AM, Smith, et al. "Standard Machine Learning Approaches Outperform Deep Representation Learning on Phenotype Prediction from Transcriptomics Data." BMC Bioinformatics 21, no. 1 (2020): 119. https://doi.org/10.1186/s12859-020-3427-8.

MLA (9th ed.) Citation

AM, Smith, et al. "Standard Machine Learning Approaches Outperform Deep Representation Learning on Phenotype Prediction from Transcriptomics Data." BMC Bioinformatics, vol. 21, no. 1, 2020, p. 119, https://doi.org/10.1186/s12859-020-3427-8.