Cargando…
Disease Module Identification Based on Representation Learning of Complex Networks Integrated From GWAS, eQTL Summaries, and Human Interactome
The study of disease-relevant gene modules is one of the main methods to discover disease pathway and potential drug targets. Recent studies have found that most disease proteins tend to form many separate connected components and scatter across the protein-protein interaction network. However, most...
Autores principales: | Wang, Tao, Peng, Qidi, Liu, Bo, Liu, Yongzhuang, Wang, Yadong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218106/ https://www.ncbi.nlm.nih.gov/pubmed/32435638 http://dx.doi.org/10.3389/fbioe.2020.00418 |
Ejemplares similares
-
eQTLMAPT: Fast and Accurate eQTL Mediation Analysis With Efficient Permutation Testing Approaches
por: Wang, Tao, et al.
Publicado: (2020) -
Integrate GWAS, eQTL, and mQTL Data to Identify Alzheimer’s Disease-Related Genes
por: Zhao, Tianyi, et al.
Publicado: (2019) -
Prioritization of nasal polyp-associated genes by integrating GWAS and eQTL summary data
por: Yoshikawa, Masahiro, et al.
Publicado: (2023) -
Integrative analysis of eQTL and GWAS summary statistics reveals transcriptomic alteration in Alzheimer brains
por: Varathan, Pradeep, et al.
Publicado: (2022) -
Gene-based association tests using GWAS summary statistics and incorporating eQTL
por: Cao, Xuewei, et al.
Publicado: (2022)