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GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
BACKGROUND: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously intro...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2006
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1388239/ https://ncbi.nlm.nih.gov/pubmed/16436204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-39 |
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