Cargando…
DNA methylation profiling as a model for discovery and precision diagnostics in neuro-oncology
Recent years have witnessed a shift to more objective and biologically-driven methods for central nervous system (CNS) tumor classification. The 2016 world health organization (WHO) classification update (“blue book”) introduced molecular diagnostic criteria into the definitions of specific entities...
Autores principales: | Pratt, Drew, Sahm, Felix, Aldape, Kenneth |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561128/ https://www.ncbi.nlm.nih.gov/pubmed/34725697 http://dx.doi.org/10.1093/neuonc/noab143 |
Ejemplares similares
-
ECOA-8. Lung adenocarcinoma brain metastasis prediction using tumor DNA methylation profiling
por: Zuccato, Jeffrey, et al.
Publicado: (2021) -
The molecular diagnostic yield of frame-based stereotactic biopsies in the age of precision neuro-oncology: a cross-sectional study
por: Alhalabi, Obada T., et al.
Publicado: (2023) -
Immune cell deconvolution of bulk DNA methylation data reveals an association with methylation class, key somatic alterations, and cell state in glial/glioneuronal tumors
por: Singh, Omkar, et al.
Publicado: (2021) -
Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology
por: Galldiks, Norbert, et al.
Publicado: (2021) -
Standardization of imaging methods for machine learning in neuro-oncology
por: Li, Xiao Tian, et al.
Publicado: (2021)