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    Results: 1 to 20 of 112

    1.

    The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases.

    Heidema AG, Boer JM, Nagelkerke N, Mariman EC, van der A DL, Feskens EJ.

    BMC Genet. 2006 Apr 21;7:23.PMID: 16630340 [PubMed]Related articlesFree article

    2.

    Analysis of multiple SNPs in genetic association studies: comparison of three multi-locus methods to prioritize and select SNPs.

    Heidema AG, Feskens EJ, Doevendans PA, Ruven HJ, van Houwelingen HC, Mariman EC, Boer JM.

    Genet Epidemiol. 2007 Dec;31(8):910-21.PMID: 17615573 [PubMed - indexed for MEDLINE]Related articles

    3.

    Screening large-scale association study data: exploiting interactions using random forests.

    Lunetta KL, Hayward LB, Segal J, Van Eerdewegh P.

    BMC Genet. 2004 Dec 10;5(1):32.PMID: 15588316 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Identifying SNPs predictive of phenotype using random forests.

    Bureau A, Dupuis J, Falls K, Lunetta KL, Hayward B, Keith TP, Van Eerdewegh P.

    Genet Epidemiol. 2005 Feb;28(2):171-82.PMID: 15593090 [PubMed - indexed for MEDLINE]Related articles

    5.

    A comparison of analytical methods for genetic association studies.

    Motsinger-Reif AA, Reif DM, Fanelli TJ, Ritchie MD.

    Genet Epidemiol. 2008 Dec;32(8):767-78.PMID: 18561203 [PubMed - indexed for MEDLINE]Related articles

    6.

    Power of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.

    He H, Oetting WS, Brott MJ, Basu S.

    BMC Med Genet. 2009 Dec 4;10(1):127. [Epub ahead of print]PMID: 19961594 [PubMed - as supplied by publisher]Related articlesFree article

    7.

    A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more variables than observations.

    Kiiveri HT.

    BMC Bioinformatics. 2008 Apr 15;9:195.PMID: 18410693 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

    Ritchie MD, Hahn LW, Moore JH.

    Genet Epidemiol. 2003 Feb;24(2):150-7.PMID: 12548676 [PubMed - indexed for MEDLINE]Related articles

    9.

    Data mining, neural nets, trees--problems 2 and 3 of Genetic Analysis Workshop 15.

    Ziegler A, DeStefano AL, König IR, Bardel C, Brinza D, Bull S, Cai Z, Glaser B, Jiang W, Lee KE, Li CX, Li J, Li X, Majoram P, Meng Y, Nicodemus KK, Platt A, Schwarz DF, Shi W, Shugart YY, Stassen HH, Sun YV, Won S, Wang W, Wahba G, Zagaar UA, Zhao Z.

    Genet Epidemiol. 2007;31 Suppl 1:S51-60.PMID: 18046765 [PubMed - indexed for MEDLINE]Related articles

    10.

    Multifactor dimensionality reduction: an analysis strategy for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics studies.

    Motsinger AA, Ritchie MD.

    Hum Genomics. 2006 Mar;2(5):318-28. Review.PMID: 16595076 [PubMed - indexed for MEDLINE]Related articles

    11.

    Exploration of methods to identify polymorphisms associated with variation in DNA repair capacity phenotypes.

    Jones IM, Thomas CB, Xi T, Mohrenweiser HW, Nelson DO.

    Mutat Res. 2007 Mar 1;616(1-2):213-20. Epub 2006 Dec 4.PMID: 17145065 [PubMed - indexed for MEDLINE]Related articles

    12.

    Multifactor dimensionality reduction-phenomics: a novel method to capture genetic heterogeneity with use of phenotypic variables.

    Mei H, Cuccaro ML, Martin ER.

    Am J Hum Genet. 2007 Dec;81(6):1251-61. Epub 2007 Oct 23.PMID: 17999363 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    Recursive partitioning analysis of complex disease pharmacogenetic studies. I. Motivation and overview.

    Young SS, Ge N.

    Pharmacogenomics. 2005 Jan;6(1):65-75. Review.PMID: 15723607 [PubMed - indexed for MEDLINE]Related articles

    14.

    Methodological issues in detecting gene-gene interactions in breast cancer susceptibility: a population-based study in Ontario.

    Briollais L, Wang Y, Rajendram I, Onay V, Shi E, Knight J, Ozcelik H.

    BMC Med. 2007 Aug 7;5:22.PMID: 17683639 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.

    Williams C, Brunskill S, Altman D, Briggs A, Campbell H, Clarke M, Glanville J, Gray A, Harris A, Johnston K, Lodge M.

    Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. Review.PMID: 16959170 [PubMed - indexed for MEDLINE]Related articlesFree article

    16.

    An ensemble learning approach jointly modeling main and interaction effects in genetic association studies.

    Zhang Z, Zhang S, Wong MY, Wareham NJ, Sha Q.

    Genet Epidemiol. 2008 May;32(4):285-300.PMID: 18205210 [PubMed - indexed for MEDLINE]Related articles

    17.

    Exploiting interactions among polymorphisms contributing to complex disease traits with boosted generative modeling.

    Wang LY, Comaniciu D, Fasulo D.

    J Comput Biol. 2006 Dec;13(10):1673-84.PMID: 17238838 [PubMed - indexed for MEDLINE]Related articles

    18.

    Bias in random forest variable importance measures: illustrations, sources and a solution.

    Strobl C, Boulesteix AL, Zeileis A, Hothorn T.

    BMC Bioinformatics. 2007 Jan 25;8:25.PMID: 17254353 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    MDR and PRP: a comparison of methods for high-order genotype-phenotype associations.

    Bastone L, Reilly M, Rader DJ, Foulkes AS.

    Hum Hered. 2004;58(2):82-92.PMID: 15711088 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Multifactor-dimensionality reduction versus family-based association tests in detecting susceptibility loci in discordant sib-pair studies.

    Meng Y, Ma Q, Yu Y, Farrell J, Farrer LA, Wilcox MA.

    BMC Genet. 2005 Dec 30;6 Suppl 1:S146. [Epub ahead of print]PMID: 16451606 [PubMed - as supplied by publisher]Related articlesFree article

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