These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
203 related articles for article (PubMed ID: 22554139)
1. Ultrahigh-dimensional variable selection method for whole-genome gene-gene interaction analysis. Ueki M; Tamiya G BMC Bioinformatics; 2012 May; 13():72. PubMed ID: 22554139 [TBL] [Abstract][Full Text] [Related]
2. GWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS. Goudey B; Rawlinson D; Wang Q; Shi F; Ferra H; Campbell RM; Stern L; Inouye MT; Ong CS; Kowalczyk A BMC Genomics; 2013; 14 Suppl 3(Suppl 3):S10. PubMed ID: 23819779 [TBL] [Abstract][Full Text] [Related]
3. TSGSIS: a high-dimensional grouped variable selection approach for detection of whole-genome SNP-SNP interactions. Fang YH; Wang JH; Hsiung CA Bioinformatics; 2017 Nov; 33(22):3595-3602. PubMed ID: 28651334 [TBL] [Abstract][Full Text] [Related]
4. MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study. Wan X; Yang C; Yang Q; Xue H; Tang NL; Yu W BMC Bioinformatics; 2009 Jan; 10():13. PubMed ID: 19134182 [TBL] [Abstract][Full Text] [Related]
5. Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests. Nguyen TT; Huang J; Wu Q; Nguyen T; Li M BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S5. PubMed ID: 25708662 [TBL] [Abstract][Full Text] [Related]
6. Increasing power of genome-wide association studies by collecting additional single-nucleotide polymorphisms. Kostem E; Lozano JA; Eskin E Genetics; 2011 Jun; 188(2):449-60. PubMed ID: 21467568 [TBL] [Abstract][Full Text] [Related]
7. Predictive rule inference for epistatic interaction detection in genome-wide association studies. Wan X; Yang C; Yang Q; Xue H; Tang NL; Yu W Bioinformatics; 2010 Jan; 26(1):30-7. PubMed ID: 19880365 [TBL] [Abstract][Full Text] [Related]
8. A variable selection method for genome-wide association studies. He Q; Lin DY Bioinformatics; 2011 Jan; 27(1):1-8. PubMed ID: 21036813 [TBL] [Abstract][Full Text] [Related]
9. A Markov blanket-based method for detecting causal SNPs in GWAS. Han B; Park M; Chen XW BMC Bioinformatics; 2010 Apr; 11 Suppl 3(Suppl 3):S5. PubMed ID: 20438652 [TBL] [Abstract][Full Text] [Related]
10. Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data. Kang C; Yu H; Yi GS BMC Med Inform Decis Mak; 2013; 13 Suppl 1(Suppl 1):S3. PubMed ID: 23566118 [TBL] [Abstract][Full Text] [Related]
11. Large scale association analysis for drug addiction: results from SNP to gene. Guo X; Liu Z; Wang X; Zhang H ScientificWorldJournal; 2012; 2012():939584. PubMed ID: 23365539 [TBL] [Abstract][Full Text] [Related]
12. Development of GMDR-GPU for gene-gene interaction analysis and its application to WTCCC GWAS data for type 2 diabetes. Zhu Z; Tong X; Zhu Z; Liang M; Cui W; Su K; Li MD; Zhu J PLoS One; 2013; 8(4):e61943. PubMed ID: 23626757 [TBL] [Abstract][Full Text] [Related]
13. Tagging SNP-set selection with maximum information based on linkage disequilibrium structure in genome-wide association studies. Wang S; He S; Yuan F; Zhu X Bioinformatics; 2017 Jul; 33(14):2078-2081. PubMed ID: 28334342 [TBL] [Abstract][Full Text] [Related]
14. HiSSI: high-order SNP-SNP interactions detection based on efficient significant pattern and differential evolution. Cao X; Liu J; Guo M; Wang J BMC Med Genomics; 2019 Dec; 12(Suppl 7):139. PubMed ID: 31888641 [TBL] [Abstract][Full Text] [Related]
15. Design and analysis of multiple diseases genome-wide association studies without controls. Chen Z; Huang H; Ng HK Gene; 2012 Nov; 510(1):87-92. PubMed ID: 22951808 [TBL] [Abstract][Full Text] [Related]
16. A high-dimensional omnibus test for set-based association analysis. Yang H; Wang X; Zhang Z; Chen F; Cao H; Yan L; Gao X; Dong H; Cui Y Brief Bioinform; 2024 Jul; 25(5):. PubMed ID: 39288231 [TBL] [Abstract][Full Text] [Related]
17. SNP selection and classification of genome-wide SNP data using stratified sampling random forests. Wu Q; Ye Y; Liu Y; Ng MK IEEE Trans Nanobioscience; 2012 Sep; 11(3):216-27. PubMed ID: 22987127 [TBL] [Abstract][Full Text] [Related]
18. Smooth-Threshold Multivariate Genetic Prediction with Unbiased Model Selection. Ueki M; Tamiya G; Genet Epidemiol; 2016 Apr; 40(3):233-43. PubMed ID: 26947266 [TBL] [Abstract][Full Text] [Related]
19. ClusterMI: Detecting High-Order SNP Interactions Based on Clustering and Mutual Information. Cao X; Yu G; Liu J; Jia L; Wang J Int J Mol Sci; 2018 Aug; 19(8):. PubMed ID: 30072632 [TBL] [Abstract][Full Text] [Related]
20. A flexible genome-wide bootstrap method that accounts for ranking and threshold-selection bias in GWAS interpretation and replication study design. Faye LL; Sun L; Dimitromanolakis A; Bull SB Stat Med; 2011 Jul; 30(15):1898-912. PubMed ID: 21538984 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]