Cargando…
Comprehensive transcriptomic characterization reveals core genes and module associated with immunological changes via 1619 samples of brain glioma
Glioma is the most common primary malignant brain tumor with limited treatment options and poor prognosis. To investigate the potential relationships between transcriptional characteristics and clinical phenotypes, we applied weighted gene co-expression network analysis (WGCNA) to construct a free-s...
Autores principales: | Zhang, Ying, Ma, Wenping, Fan, Wenhua, Ren, Changyuan, Xu, Jianbao, Zeng, Fan, Bao, Zhaoshi, Jiang, Tao, Zhao, Zheng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8654825/ https://www.ncbi.nlm.nih.gov/pubmed/34880206 http://dx.doi.org/10.1038/s41419-021-04427-8 |
Ejemplares similares
-
LRRFIP1, an epigenetically regulated gene, is a prognostic biomarker and predicts malignant phenotypes of glioma
por: Ma, Wenping, et al.
Publicado: (2022) -
A novel chemokine‐based signature for prediction of prognosis and therapeutic response in glioma
por: Fan, Wenhua, et al.
Publicado: (2022) -
View of Heidelberg in 1619
Publicado: (1941) -
Las Alarmantes Implicaciones del Proyecto 1619
por: Meier, Thomas
Publicado: (2022) -
Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients
por: Zhao, Zheng, et al.
Publicado: (2021)