Cargando…
Predicting Type 1 Diabetes Candidate Genes using Human Protein-Protein Interaction Networks
BACKGROUND: Proteins directly interacting with each other tend to have similar functions and be involved in the same cellular processes. Mutations in genes that code for them often lead to the same family of disease phenotypes. Efforts have been made to prioritize positional candidate genes for comp...
Autores principales: | Gao, Shouguo, Wang, Xujing |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2818071/ https://www.ncbi.nlm.nih.gov/pubmed/20148193 http://dx.doi.org/10.4172/jcsb.1000025 |
Ejemplares similares
-
Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data
por: Gao, Shouguo, et al.
Publicado: (2011) -
Investigation of coordination and order in transcription regulation of innate and adaptive immunity genes in type 1 diabetes
por: Gao, Shouguo, et al.
Publicado: (2017) -
Cross Tissue Trait-Pathway Network Reveals the Importance of Oxidative Stress and Inflammation Pathways in Obesity-Induced Diabetes in Mouse
por: Gao, Shouguo, et al.
Publicado: (2012) -
Identification of highly synchronized subnetworks from gene expression data
por: Gao, Shouguo, et al.
Publicado: (2013) -
Time-Varying Gene Expression Network Analysis Reveals Conserved Transition States in Hematopoietic Differentiation between Human and Mouse
por: Gao, Shouguo, et al.
Publicado: (2022)