APA (7th ed.) Citation

Tasci, E., Chappidi, S., Zhuge, Y., Zhang, L., Cooley Zgela, T., Sproull, M., . . . Krauze, A. V. (2025). GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma. International Journal of Molecular Sciences, 26(9), 4339. https://doi.org/10.3390/ijms26094339

Chicago Style (17th ed.) Citation

Tasci, Erdal, Shreya Chappidi, Ying Zhuge, Longze Zhang, Theresa Cooley Zgela, Mary Sproull, Megan Mackey, Kevin Camphausen, and Andra Valentina Krauze. "GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma." International Journal of Molecular Sciences 26, no. 9 (2025): 4339. https://doi.org/10.3390/ijms26094339.

MLA (9th ed.) Citation

Tasci, Erdal, et al. "GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma." International Journal of Molecular Sciences, vol. 26, no. 9, 2025, p. 4339, https://doi.org/10.3390/ijms26094339.