Cargando…
Identification of a glioma functional network from gene fitness data using machine learning
Glioblastoma multiforme (GBM) is an aggressive form of brain tumours that remains incurable despite recent advances in clinical treatments. Previous studies have focused on sub‐categorizing patient samples based on clustering various transcriptomic data. While functional genomics data are rapidly ac...
Autores principales: | Xiang, Chun‐xiang, Liu, Xi‐guo, Zhou, Da‐quan, Zhou, Yi, Wang, Xu, Chen, Feng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831986/ https://www.ncbi.nlm.nih.gov/pubmed/35044082 http://dx.doi.org/10.1111/jcmm.17182 |
Ejemplares similares
-
A GLO10 score for the prediction of prognosis in high grade gliomas
por: Chen, Feng, et al.
Publicado: (2017) -
Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting
por: Ruan, Huijuan, et al.
Publicado: (2022) -
Machine learning-based identification of SOX10 as an immune regulator of macrophage in gliomas
por: Xiao, Gelei, et al.
Publicado: (2022) -
Research Progress of Gliomas in Machine Learning
por: Wu, Yameng, et al.
Publicado: (2021) -
Machine Learning-Based Hearing Aid Fitting Personalization Using Clinical Fitting Data
por: Mondol, S. I. M. M. Raton, et al.
Publicado: (2022)