Cargando…
Application of Machine Learning to Metabolomic Profile Characterization in Glioblastoma Patients Undergoing Concurrent Chemoradiation
We here characterize changes in metabolite patterns in glioblastoma patients undergoing surgery and concurrent chemoradiation using machine learning (ML) algorithms to characterize metabolic changes during different stages of the treatment protocol. We examined 105 plasma specimens (before surgery,...
Autores principales: | Aboud, Orwa, Liu, Yin Allison, Fiehn, Oliver, Brydges, Christopher, Fragoso, Ruben, Lee, Han Sung, Riess, Jonathan, Hodeify, Rawad, Bloch, Orin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961856/ https://www.ncbi.nlm.nih.gov/pubmed/36837918 http://dx.doi.org/10.3390/metabo13020299 |
Ejemplares similares
-
Profile Characterization of Biogenic Amines in Glioblastoma Patients Undergoing Standard-of-Care Treatment
por: Aboud, Orwa, et al.
Publicado: (2023) -
A pilot study on metabolomic characterization of human glioblastomas and patient plasma
por: Liu, Allison, et al.
Publicado: (2023) -
Metabolomics in High Grade Gliomas
por: Yu, Nina, et al.
Publicado: (2022) -
Bayesian Statistics Improves Biological Interpretability of Metabolomics Data from Human Cohorts
por: Brydges, Christopher, et al.
Publicado: (2023) -
Concurrent Chemoradiation for Vaginal Cancer
por: Miyamoto, David T., et al.
Publicado: (2013)