Cargando…
A general co-expression network-based approach to gene expression analysis: comparison and applications
BACKGROUND: Co-expression network-based approaches have become popular in analyzing microarray data, such as for detecting functional gene modules. However, co-expression networks are often constructed by ad hoc methods, and network-based analyses have not been shown to outperform the conventional c...
Autores principales: | Ruan, Jianhua, Dean, Angela K, Zhang, Weixiong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829495/ https://www.ncbi.nlm.nih.gov/pubmed/20122284 http://dx.doi.org/10.1186/1752-0509-4-8 |
Ejemplares similares
-
Analysis of Alzheimer's disease severity across brain regions by topological analysis of gene co-expression networks
por: Ray, Monika, et al.
Publicado: (2010) -
Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome
por: Presson, Angela P, et al.
Publicado: (2008) -
Juxtapose: a gene-embedding approach for comparing co-expression networks
por: Ovens, Katie, et al.
Publicado: (2021) -
An ensemble learning approach to reverse-engineering transcriptional regulatory networks from time-series gene expression data
por: Ruan, Jianhua, et al.
Publicado: (2009) -
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)