CA, G., SL, P., J, H., JC, C., S, L., H, Y., . . . CM, L. (2020). Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. PLoS computational biology, 16(8), e1008044. https://doi.org/10.1371/journal.pcbi.1008044
Chicago Style (17th ed.) CitationCA, Glastonbury, et al. "Machine Learning Based Histology Phenotyping to Investigate the Epidemiologic and Genetic Basis of Adipocyte Morphology and Cardiometabolic Traits." PLoS Computational Biology 16, no. 8 (2020): e1008044. https://doi.org/10.1371/journal.pcbi.1008044.
MLA (9th ed.) CitationCA, Glastonbury, et al. "Machine Learning Based Histology Phenotyping to Investigate the Epidemiologic and Genetic Basis of Adipocyte Morphology and Cardiometabolic Traits." PLoS Computational Biology, vol. 16, no. 8, 2020, p. e1008044, https://doi.org/10.1371/journal.pcbi.1008044.