Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes

Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most li...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Tiffin, Nicki, Adie, Euan, Turner, Frances, Brunner, Han G., van Driel, Marc A., Oti, Martin, Lopez-Bigas, Nuria, Ouzounis, Christos, Perez-Iratxeta, Carolina, Andrade-Navarro, Miguel A., Adeyemo, Adebowale, Patti, Mary Elizabeth, Semple, Colin A. M., Hide, Winston
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2006
Gaiak:
Survey and Summary
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC1475747/
https://ncbi.nlm.nih.gov/pubmed/16757574
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkl381
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