Multifactor dimensionality reduction: An analysis strategy for modelling and detecting gene - gene interactions in human genetics and pharmacogenomics studies
暂无分享,去创建一个
[1] M. Reilly,et al. MDR and PRP: A Comparison of Methods for High-Order Genotype-Phenotype Associations , 2005, Human Heredity.
[2] Nathalie Japkowicz,et al. The class imbalance problem: A systematic study , 2002, Intell. Data Anal..
[3] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[4] 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.
[5] Jason H. Moore,et al. An application of conditional logistic regression and multifactor dimensionality reduction for detecting gene-gene Interactions on risk of myocardial infarction: The importance of model validation , 2004, BMC Bioinformatics.
[6] Sharon L R Kardia,et al. Dynamic relationships between the genome and exposures to environments as causes of common human diseases. , 2004, World review of nutrition and dietetics.
[7] J. Concato,et al. A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.
[8] Jason H Moore,et al. Computational analysis of gene-gene interactions using multifactor dimensionality reduction , 2004, Expert review of molecular diagnostics.
[9] Jason H. Moore,et al. Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics , 2002, GECCO.
[10] Foster J. Provost,et al. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction , 2003, J. Artif. Intell. Res..
[11] J. H. Moore,et al. Multifactor-dimensionality reduction shows a two-locus interaction associated with Type 2 diabetes mellitus , 2004, Diabetologia.
[12] R. Bellman,et al. V. Adaptive Control Processes , 1964 .
[13] Jonathan L Haines,et al. Genetics, statistics and human disease: analytical retooling for complexity. , 2004, Trends in genetics : TIG.
[14] Jason H. Moore,et al. The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases , 2003, Human Heredity.
[15] 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.
[16] H. K. Lee,et al. Erratum to: Common genetic polymorphisms in the promoter of resistin gene are major determinants of plasma resistin concentrations in humans , 2004, Diabetologia.
[17] Serge Batalov,et al. Susceptibility and modifier genes in Portuguese transthyretin V30M amyloid polyneuropathy: complexity in a single-gene disease. , 2005, Human molecular genetics.
[18] P. Good,et al. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses , 1995 .
[19] Jason H. Moore,et al. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions , 2003, Bioinform..
[20] J. H. Moore,et al. A novel method to identify gene–gene effects in nuclear families: the MDR‐PDT , 2006, Genetic epidemiology.
[21] Jason H. Moore,et al. Ideal discrimination of discrete clinical endpoints using multilocus genotypes , 2004, Silico Biol..
[22] Scott M. Williams,et al. New strategies for identifying gene-gene interactions in hypertension , 2002, Annals of medicine.
[23] David M. Reif,et al. Combinatorial Pharmacogenetics , 2005, Nature Reviews Drug Discovery.
[24] Marylyn D Ritchie,et al. Renin-Angiotensin System Gene Polymorphisms and Atrial Fibrillation , 2004, Circulation.