AA9int: SNP interaction pattern search using non‐hierarchical additive model set
暂无分享,去创建一个
Hardev Pandha | Graham G. Giles | Christopher A. Haiman | Dung-Tsa Chen | Rosalind Eeles | Zsofia Kote-Jarai | David E. Neal | Kay-Tee Khaw | Po-Yu Huang | Hui-Yi Lin | Heng-Yuan Tung | Thomas A. Sellers | Julio M. Pow-Sang | Doug Easton | Ali Amin Al Olama | Sara Benlloch | Kenneth Muir | Fredrik Wiklund | Henrik Gronberg | Johanna Schleutker | Børge G. Nordestgaard | Ruth C. Travis | Freddie Hamdy | Nora Pashayan | Janet L. Stanford | William J. Blot | Stephen N. Thibodeau | Christiane Maier | Adam S. Kibel | Cezary Cybulski | Lisa A. Cannon-Albright | Hermann Brenner | Radka Kaneva | Jyotsna Batra | Manuel R. Teixeira | Yong-Jie Lu | The PRACTICAL Consortium | Jong Y. Park | T. Sellers | H. Brenner | R. Eeles | Z. Kote-Jarai | G. Giles | K. Muir | C. Haiman | J. Schleutker | F. Hamdy | D. Neal | J. Stanford | S. Thibodeau | C. Maier | L. Cannon-Albright | R. Kaneva | J. Pow-Sang | J. Batra | D. Easton | A. Kibel | F. Wiklund | W. Blot | B. Nordestgaard | H. Gronberg | H. Pandha | K. Khaw | Hui-Yi Lin | S. Benlloch | R. Travis | N. Pashayan | C. Cybulski | Po-Yu Huang | Heng-Yuan Tung | Jong Y. Park | The Practical Consortium | Dung-tsa Chen | Yong-jie Lu | A. Olama | M. Teixeira
[1] J. Townsend,et al. The Oxford Handbook of Computational and Mathematical Psychology , 2015 .
[2] Ioannis Xenarios,et al. FastEpistasis: a high performance computing solution for quantitative trait epistasis , 2010, Bioinform..
[3] J. H. Moore,et al. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. , 2001, American journal of human genetics.
[4] S. Soong,et al. Variable selection in logistic regression for detecting SNP–SNP interactions: the rheumatoid arthritis example , 2008, European Journal of Human Genetics.
[5] H. Cordell. Detecting gene–gene interactions that underlie human diseases , 2009, Nature Reviews Genetics.
[6] Xiaotao Qu,et al. SNP-SNP Interaction Network in Angiogenesis Genes Associated with Prostate Cancer Aggressiveness , 2013, PloS one.
[7] Jack A. Taylor,et al. Non-hierarchical logistic models and case-only designs for assessing susceptibility in population-based case-control studies. , 1994, Statistics in medicine.
[8] E. Wagenmakers,et al. Model Comparison and the Principle of Parsimony , 2015 .
[9] Zhide Fang,et al. SNP interaction pattern identifier (SIPI): an intensive search for SNP‐SNP interaction patterns , 2016, Bioinform..
[10] Scott M. Williams,et al. New strategies for identifying gene-gene interactions in hypertension , 2002, Annals of medicine.
[11] Jason H. Moore,et al. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity , 2003, Genetic epidemiology.
[12] Xavier Estivill,et al. SNPassoc: an R package to perform whole genome association studies , 2007, Bioinform..
[13] Q. Zou,et al. An overview of SNP interactions in genome-wide association studies. , 2015, Briefings in functional genomics.
[14] Jason H. Moore,et al. The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases , 2003, Human Heredity.
[15] Qiang Yang,et al. BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies , 2010, American journal of human genetics.
[16] Laurent Briollais,et al. SNP-SNP interactions in breast cancer susceptibility , 2006, BMC Cancer.
[17] Tim Becker,et al. INTERSNP: genome-wide interaction analysis guided by a priori information , 2009, Bioinform..