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...
| Published in: | BioMed Research International Vol. 2013; pp. 432375 - 432376 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Wiley-Blackwell
2013
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| Online Access: | View this record in EBSCOhost |