GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma.
Saved in:
| Title: | GLIO-Select: Machine Learning-Based Feature Selection and Weighting of Tissue and Serum Proteomic and Metabolomic Data Uncovers Sex Differences in Glioblastoma. |
|---|---|
| Authors: | Tasci, Erdal1 (AUTHOR), Chappidi, Shreya1 (AUTHOR), Zhuge, Ying1 (AUTHOR), Zhang, Longze1 (AUTHOR), Cooley Zgela, Theresa1 (AUTHOR), Sproull, Mary1 (AUTHOR), Mackey, Megan1 (AUTHOR), Camphausen, Kevin1 (AUTHOR), Krauze, Andra Valentina1 (AUTHOR) andra.krauze@nih.gov |
| Source: | International Journal of Molecular Sciences. May2025, Vol. 26 Issue 9, p4339. 29p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!