APA (7th ed.) Citation

R, K., T, B., C, L., A, C., JM, S., JM, B., . . . CRJ, H. (2025). Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy. Microbiology spectrum, 13(10), e0303324. https://doi.org/10.1128/spectrum.03033-24

Chicago Style (17th ed.) Citation

R, Khan, et al. "Predicting Hydrocarbon Presence in Marine Cold Seep Sediments Using Machine Learning Models Trained with Benthic Bacterial 16S RRNA Taxonomy." Microbiology Spectrum 13, no. 10 (2025): e0303324. https://doi.org/10.1128/spectrum.03033-24.

MLA (9th ed.) Citation

R, Khan, et al. "Predicting Hydrocarbon Presence in Marine Cold Seep Sediments Using Machine Learning Models Trained with Benthic Bacterial 16S RRNA Taxonomy." Microbiology Spectrum, vol. 13, no. 10, 2025, p. e0303324, https://doi.org/10.1128/spectrum.03033-24.