A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology
Recently, the greatest statistical computational challenge in genetic epidemiology is to identify and characterize the genes that interact with other genes and environment factors that bring the effect on complex multifactorial disease. These gene-gene interactions are also denoted as epitasis in wh...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2013-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2013/432375 |