SEE: a novel multi-objective evolutionary algorithm for identifying SNP epistasis in genome-wide association studies
Although genome-wide association studies play an increasingly important role in identifying causes of complex diseases, detecting SNP epistasis in these studies is a computational challenge. The existing methods are usually based on a single-correlation model between SNP combinations and phenotype a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Biotechnology & Biotechnological Equipment |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/13102818.2019.1593052 |