Cargando…
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model
BACKGROUND: Accurately prioritizing candidate disease genes is an important and challenging problem. Various network-based methods have been developed to predict potential disease genes by utilizing the disease similarity network and molecular networks such as protein interaction or gene co-expressi...
Autores principales: | Ni, Jingchao, Koyuturk, Mehmet, Tong, Hanghang, Haines, Jonathan, Xu, Rong, Zhang, Xiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5103411/ https://www.ncbi.nlm.nih.gov/pubmed/27829360 http://dx.doi.org/10.1186/s12859-016-1317-x |
Ejemplares similares
-
DADA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization
por: Erten, Sinan, et al.
Publicado: (2011) -
Integrated querying and version control of context-specific biological networks
por: Cowman, Tyler, et al.
Publicado: (2020) -
Robust inference of kinase activity using functional networks
por: Yılmaz, Serhan, et al.
Publicado: (2021) -
Prioritizing tests of epistasis through hierarchical representation of genomic redundancies
por: Cowman, Tyler, et al.
Publicado: (2017) -
Multi-tissue network analysis for drug prioritization in knee osteoarthritis
por: Neidlin, Michael, et al.
Publicado: (2019)