A large-scale benchmark of gene prioritization methods

In order to maximize the use of results from high-throughput experimental studies, e.g. GWAS, for identification and diagnostics of new disease-associated genes, it is important to have properly analyzed and benchmarked gene prioritization tools. While prospective benchmarks are underpowered to prov...

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Detalles Bibliográficos
Autores principales: Guala, Dimitri, Sonnhammer, Erik L. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399445/
https://www.ncbi.nlm.nih.gov/pubmed/28429739
http://dx.doi.org/10.1038/srep46598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5399445/
https://www.ncbi.nlm.nih.gov/pubmed/28429739
http://dx.doi.org/10.1038/srep46598

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