SNP interaction pattern identifier (SIPI): an intensive search for SNP–SNP interaction patterns
Author(s) -
HuiYi Lin,
DungTsa Chen,
Po-Yu Huang,
Yung-Hsin Liu,
Augusto C. Ochoa,
Jovanny Zabaleta,
Donald E. Mercante,
Zhide Fang,
Thomas A. Sellers,
Julio M. PowSang,
ChiaHo Cheng,
Rosalind A. Eeles,
Doug Easton,
Zsofia KoteJarai,
Ali Amin Al Olama,
Sara Benlloch,
Kenneth Muir,
Graham G. Giles,
Fredrik Wiklund,
Henrik Grönberg,
Christopher A. Haiman,
Johanna Schleutker,
Børge G. Nordestgaard,
Ruth C. Travis,
Freddie C. Hamdy,
Nora Pashayan,
KayTee Khaw,
Janet L. Stanford,
William J. Blot,
Stephen N. Thibodeau,
Christiane Maier,
Adam S. Kibel,
Cezary Cybulski,
Lisa CanAlbright,
Hermann Brenner,
Radka Kaneva,
Jyotsna Batra,
Manuel R. Teixeira,
Hardev Pandha,
YongJie Lu,
Jong Y. Park
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw762
Subject(s) - multifactor dimensionality reduction , snp , computer science , epistasis , curse of dimensionality , computational biology , data mining , single nucleotide polymorphism , biology , artificial intelligence , genotype , genetics , gene
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.
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