Cargando…
Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients
BACKGROUND: Neuroblastoma is one of the most common types of pediatric cancer. In current neuroblastoma prognosis, patients can be stratified into high- and low-risk groups. Generally, more than 90% of the patients in the low-risk group will survive, while less than 50% for those with the high-risk...
Autores principales: | Han, Yatong, Ye, Xiufen, Wang, Chao, Liu, Yusong, Zhang, Siyuan, Feng, Weixing, Huang, Kun, Zhang, Jie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706887/ https://www.ncbi.nlm.nih.gov/pubmed/31443736 http://dx.doi.org/10.1186/s13062-019-0244-y |
Ejemplares similares
-
Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients’ survival time
por: Han, Yatong, et al.
Publicado: (2019) -
Distance correlation application to gene co-expression network analysis
por: Hou, Jie, et al.
Publicado: (2022) -
TPSC: a module detection method based on topology potential and spectral clustering in weighted networks and its application in gene co-expression module discovery
por: Liu, Yusong, et al.
Publicado: (2021) -
Molecular Basis and Clinical Features of Neuroblastoma
por: Takita, Junko
Publicado: (2021) -
A Distinguishable Pseudo-Feature Synthesis Method for Generalized Zero-Shot Learning
por: Jia, Yunpeng, et al.
Publicado: (2022)