SNP interaction pattern identifier (SIPI): an intensive search for SNP–SNP interaction patterns

Motivation: Testing SNP–SNP interactions is considered as a key for overcoming bottlenecks of genetic association studies. However, related statistical methods for testing SNP–SNP interactions are underdeveloped. Results: We propose the SNP Interaction Pattern Identifier (SIPI), which tests 45 biolo...

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Bibliografiska uppgifter
I publikationen:Bioinformatics
Huvudupphovsmän: Lin, Hui-Yi, Chen, Dung-Tsa, Huang, Po-Yu, Liu, Yung-Hsin, Ochoa, Augusto, Zabaleta, Jovanny, Mercante, Donald E., Fang, Zhide, Sellers, Thomas A., Pow-Sang, Julio M., Cheng, Chia-Ho, Eeles, Rosalind, Easton, Doug, Kote-Jarai, Zsofia, Amin Al Olama, Ali, Benlloch, Sara, Muir, Kenneth, Giles, Graham G., Wiklund, Fredrik, Gronberg, Henrik, Haiman, Christopher A., Schleutker, Johanna, Nordestgaard, Børge G., Travis, Ruth C., Hamdy, Freddie, Pashayan, Nora, Khaw, Kay-Tee, Stanford, Janet L., Blot, William J., Thibodeau, Stephen N., Maier, Christiane, Kibel, Adam S., Cybulski, Cezary, Cannon-Albright, Lisa, Brenner, Hermann, Kaneva, Radka, Batra, Jyotsna, Teixeira, Manuel R., Pandha, Hardev, Lu, Yong-Jie, Park, Jong Y.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2017
Ämnen:
Original Papers
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5860469/
https://ncbi.nlm.nih.gov/pubmed/28039167
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw762
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