Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix

MLA

Marena Trinidad, et al. “Predicting Disease Severity in Metachromatic Leukodystrophy Using Protein Activity and a Patient Phenotype Matrix.” Genome Biology, vol. 24, no. 1, July 2023, pp. 1–35. EBSCOhost, https://doi.org/10.1186/s13059-023-03001-z.

APA

Marena Trinidad, Xinying Hong, Steven Froelich, Jessica Daiker, James Sacco, Hong Phuc Nguyen, Madelynn Campagna, Dean Suhr, Teryn Suhr, Jonathan H. LeBowitz, Michael H. Gelb, & Wyatt T. Clark. (2023). Predicting disease severity in metachromatic leukodystrophy using protein activity and a patient phenotype matrix. Genome Biology, 24(1), 1–35. https://doi.org/10.1186/s13059-023-03001-z

Chicago

Marena Trinidad, Xinying Hong, Steven Froelich, Jessica Daiker, James Sacco, Hong Phuc Nguyen, Madelynn Campagna, et al. 2023. “Predicting Disease Severity in Metachromatic Leukodystrophy Using Protein Activity and a Patient Phenotype Matrix.” Genome Biology 24 (1): 1–35. doi:10.1186/s13059-023-03001-z.