Cargando…
Improved human disease candidate gene prioritization using mouse phenotype
BACKGROUND: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-throughput genome-wide studies like linkage analysis and gene expression profiling, tend to be most useful for classification...
Autores principales: | Chen, Jing, Xu, Huan, Aronow, Bruce J, Jegga, Anil G |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194797/ https://www.ncbi.nlm.nih.gov/pubmed/17939863 http://dx.doi.org/10.1186/1471-2105-8-392 |
Ejemplares similares
-
Disease candidate gene identification and prioritization using protein interaction networks
por: Chen, Jing, et al.
Publicado: (2009) -
Correction: Disease candidate gene identification and prioritization using protein interaction networks
por: Chen, Jing, et al.
Publicado: (2009) -
ToppGene Suite for gene list enrichment analysis and candidate gene prioritization
por: Chen, Jing, et al.
Publicado: (2009) -
PhenoHM: human–mouse comparative phenome–genome server
por: Sardana, Divya, et al.
Publicado: (2010) -
PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease
por: Jegga, Anil G., et al.
Publicado: (2007)