Cargando…
Gene co-expression network based on part mutual information for gene-to-gene relationship and gene-cancer correlation analysis
BACKGROUND: Finding correlation patterns is an important goal of analyzing biological data. Currently available methods for correlation analysis mainly use non-direct associations, such as the Pearson correlation coefficient, and focus on the interpretation of networks at the level of modules. For b...
Autores principales: | Jiang, Yi-Hua, Long, Jie, Zhao, Zhi-Bin, Li, Liang, Lian, Zhe-Xiong, Liang, Zhi, Wu, Jia-Rui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128248/ https://www.ncbi.nlm.nih.gov/pubmed/35610556 http://dx.doi.org/10.1186/s12859-022-04732-9 |
Ejemplares similares
-
Gene Regulatory Network Reconstruction Using Conditional Mutual Information
por: Liang, Kuo-Ching, et al.
Publicado: (2008) -
Mutual Information for Testing Gene-Environment Interaction
por: Wu, Xuesen, et al.
Publicado: (2009) -
Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid
por: Chen, Qian-Song, et al.
Publicado: (2017) -
Parallel mutual information estimation for inferring gene regulatory networks on GPUs
por: Shi, Haixiang, et al.
Publicado: (2011) -
Reconstructing regulatory networks from the dynamic plasticity of gene expression by mutual information
por: Wang, Jianxin, et al.
Publicado: (2013)