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Tasci E, Chappidi S, Zhuge Y, Zhang L, Cooley Zgela T, Sproull M, Mackey M, Camphausen K, Krauze AV. 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. 2025; 26(9):4339. https://doi.org/10.3390/ijms26094339

Tasci, Erdal, Shreya Chappidi, Ying Zhuge, Longze Zhang, Theresa Cooley Zgela, Mary Sproull, Megan Mackey, Kevin Camphausen, and Andra Valentina Krauze. 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, no. 9: 4339. https://doi.org/10.3390/ijms26094339

Tasci, E., Chappidi, S., Zhuge, Y., Zhang, L., Cooley Zgela, T., Sproull, M., Mackey, M., Camphausen, K., & 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