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A dual-clustering framework for association screening with whole genome sequencing data and longitudinal traits
Current sequencing technology enables generation of whole genome sequencing data sets that contain a high density of rare variants, each of which is carried by, at most, 5% of the sampled subjects. Such variants are involved in the etiology of most common diseases in humans. These diseases can be st...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2014
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4143709/ https://ncbi.nlm.nih.gov/pubmed/25519328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-8-S1-S47 |
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