MDPI and ACS Style
Joyce, T.; Tasci, E.; Jagasia, S.; Shephard, J.; Chappidi, S.; Zhuge, Y.; Zhang, L.; Cooley Zgela, T.; Sproull, M.; Mackey, M.;
et al. Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma. Cancers 2024, 16, 2740.
https://doi.org/10.3390/cancers16152740
AMA Style
Joyce T, Tasci E, Jagasia S, Shephard J, Chappidi S, Zhuge Y, Zhang L, Cooley Zgela T, Sproull M, Mackey M,
et al. Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma. Cancers. 2024; 16(15):2740.
https://doi.org/10.3390/cancers16152740
Chicago/Turabian Style
Joyce, Thomas, Erdal Tasci, Sarisha Jagasia, Jason Shephard, Shreya Chappidi, Ying Zhuge, Longze Zhang, Theresa Cooley Zgela, Mary Sproull, Megan Mackey,
and et al. 2024. "Serum CD133-Associated Proteins Identified by Machine Learning Are Connected to Neural Development, Cancer Pathways, and 12-Month Survival in Glioblastoma" Cancers 16, no. 15: 2740.
https://doi.org/10.3390/cancers16152740