Cargando…
Distance correlation application to gene co-expression network analysis
BACKGROUND: To construct gene co-expression networks, it is necessary to evaluate the correlation between different gene expression profiles. However, commonly used correlation metrics, including both linear (such as Pearson’s correlation) and monotonic (such as Spearman’s correlation) dependence me...
Autores principales: | Hou, Jie, Ye, Xiufen, Feng, Weixing, Zhang, Qiaosheng, Han, Yatong, Liu, Yusong, Li, Yu, Wei, Yufen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8862277/ https://www.ncbi.nlm.nih.gov/pubmed/35193539 http://dx.doi.org/10.1186/s12859-022-04609-x |
Ejemplares similares
-
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) -
Integrative analysis based on survival associated co-expression gene modules for predicting Neuroblastoma patients’ survival time
por: Han, Yatong, et al.
Publicado: (2019) -
Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients
por: Han, Yatong, et al.
Publicado: (2019) -
K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks
por: Hou, Jie, et al.
Publicado: (2021) -
Identify potential driver genes for PAX-FOXO1 fusion-negative rhabdomyosarcoma through frequent gene co-expression network mining
por: Zhan, Xiaohui, et al.
Publicado: (2023)