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Autor:
Fuller, Christopher Kent
Publikováno v:
Fuller, Christopher Kent. (2014). Methods for Mining Genome-Wide Phenotype Associations in a Functional Context. UC San Francisco: Biological and Medical Informatics. Retrieved from: http://www.escholarship.org/uc/item/8b18n6c6
Genome-wide association studies (GWAS) have linked various complex diseases to many dozens, sometimes hundreds, of individual genomic loci. Since these are generally of small effect and may lack both functional annotations and an obvious relation to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::2716b265f0a56e80837f596fa3f8d6c4
http://www.escholarship.org/uc/item/8b18n6c6
http://www.escholarship.org/uc/item/8b18n6c6