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Volumn 31, Issue SUPPL. 1, 2007, Pages

Data mining, neural nets, trees - Problems 2 and 3 of genetic analysis workshop 15

Author keywords

Association analysis; Classification tree; Genome wide analysis; GWA; Logic regression; Logistic regression; Logistic trees; Neural net; Random forest; Single nucleotide polymorphism; SNP

Indexed keywords

CONFERENCE PAPER; DATA MINING; DISEASE PREDISPOSITION; GENE IDENTIFICATION; GENE INTERACTION; GENETIC ANALYSIS; GENETIC SCREENING; GENETIC SUSCEPTIBILITY; MACHINE LEARNING; NERVE CELL NETWORK; REGRESSION ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 38049006418     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20280     Document Type: Conference Paper
Times cited : (22)

References (43)
  • 2
    • 0040752847 scopus 로고    scopus 로고
    • Statistical models and artificial neural networks
    • Bock HH, Polasek W, editors, Heidelberg: Springer, p
    • Arminger G, Enache D. 1996. Statistical models and artificial neural networks. In: Bock HH, Polasek W, editors. Data Analysis and Information Systems. Heidelberg: Springer, p 243-260.
    • (1996) Data Analysis and Information Systems , pp. 243-260
    • Arminger, G.1    Enache, D.2
  • 3
    • 30344453104 scopus 로고    scopus 로고
    • Haplotypes and haplotype-tagging single-nucleotide polymorphism: Presentation Group 8 of Genetic Analysis Workshop 14
    • Beckmann L, Ziegler A, Duggal P, Bailey-Wilson JE. 2005. Haplotypes and haplotype-tagging single-nucleotide polymorphism: presentation Group 8 of Genetic Analysis Workshop 14. Genet Epidemiol 29(Suppl 1):S59-S71.
    • (2005) Genet Epidemiol , vol.29 , Issue.SUPPL. 1
    • Beckmann, L.1    Ziegler, A.2    Duggal, P.3    Bailey-Wilson, J.E.4
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. 2001. Random forests. Machine Learn. 45:5-32.
    • (2001) Machine Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 11244354640 scopus 로고    scopus 로고
    • LOTUS: An algorithm for building accurate and comprehensible logistic regression trees
    • Chan K, Loh W. 2004. LOTUS: an algorithm for building accurate and comprehensible logistic regression trees. J Comput Graph Stat. 13:826-852.
    • (2004) J Comput Graph Stat , vol.13 , pp. 826-852
    • Chan, K.1    Loh, W.2
  • 8
    • 38049006935 scopus 로고    scopus 로고
    • de Andrade M, Allen AS. 2007. Summary of contributions to GAW 15 group 13: candidate gene association. Genet Epidemiol 31(Suppl 1):S110-S117 (this issue).
    • de Andrade M, Allen AS. 2007. Summary of contributions to GAW 15 group 13: candidate gene association. Genet Epidemiol 31(Suppl 1):S110-S117 (this issue).
  • 9
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using random forest
    • Díaz-Uriarte R, de Andrés SA. 2006. Gene selection and classification of microarray data using random forest. BMC Bioinform 7:3.
    • (2006) BMC Bioinform , vol.7 , pp. 3
    • Díaz-Uriarte, R.1    de Andrés, S.A.2
  • 12
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Friedman J. 2001. Greedy function approximation: a gradient boosting machine. Ann Stat 29:1189-1232.
    • (2001) Ann Stat , vol.29 , pp. 1189-1232
    • Friedman, J.1
  • 13
    • 38049012281 scopus 로고    scopus 로고
    • Analyses of single marker and pairwise effects of candidate loci for rheumatoid arthritis using logistic regression and random forests
    • Glaser B, Nikolov I, Chubb D, Hamshere ML, Segurado R, Moskvina V, Holmans P. 2007. Analyses of single marker and pairwise effects of candidate loci for rheumatoid arthritis using logistic regression and random forests. BMC Proceedings 1(Suppl 1):S54.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Glaser, B.1    Nikolov, I.2    Chubb, D.3    Hamshere, M.L.4    Segurado, R.5    Moskvina, V.6    Holmans, P.7
  • 14
    • 19044398807 scopus 로고    scopus 로고
    • Bundling classifiers by bagging trees
    • Hothorn T, Lausen B. 2005. Bundling classifiers by bagging trees. Comput Stat Data Anal 49:1068-1078.
    • (2005) Comput Stat Data Anal , vol.49 , pp. 1068-1078
    • Hothorn, T.1    Lausen, B.2
  • 15
    • 38049086964 scopus 로고    scopus 로고
    • Cladistic analysis of genotype data - application to GAW 15 Problem 3
    • Jung H, Zhao K, Majoram P. 2007. Cladistic analysis of genotype data - application to GAW 15 Problem 3. BMC Proceedings 1(Suppl 1):S123.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Jung, H.1    Zhao, K.2    Majoram, P.3
  • 16
    • 26844473114 scopus 로고    scopus 로고
    • Three papers on boosting: An introduction
    • Koltchinskii V, Yu B. 2004. Three papers on boosting: an introduction. Ann Stat 32:12.
    • (2004) Ann Stat , vol.32 , pp. 12
    • Koltchinskii, V.1    Yu, B.2
  • 17
    • 38049019706 scopus 로고    scopus 로고
    • König IR, Malley JD, Pajevic S, Weimar C, Diener H-C, Ziegler A. 2007a. Patient-centered prognosis using learning machines. Int J Datamining Bioinform (in press).
    • König IR, Malley JD, Pajevic S, Weimar C, Diener H-C, Ziegler A. 2007a. Patient-centered prognosis using learning machines. Int J Datamining Bioinform (in press).
  • 18
    • 38049035375 scopus 로고    scopus 로고
    • Practical experiences on the necessity of external validation
    • on behalf of the German Stroke Study Collaboration, in press, DOI: 10.1002/sim.3069
    • König IR, Malley JD, Weimar C, Diener H-C, Ziegler A, on behalf of the German Stroke Study Collaboration. 2007b. Practical experiences on the necessity of external validation. Stat Med in press, DOI: 10.1002/sim.3069.
    • (2007) Stat Med
    • König, I.R.1    Malley, J.D.2    Weimar, C.3    Diener, H.-C.4    Ziegler, A.5
  • 19
    • 12744269194 scopus 로고    scopus 로고
    • Identifying interacting SNPs using Monte Carlo logic regression
    • Kooperberg C, Ruczinski I. 2005. Identifying interacting SNPs using Monte Carlo logic regression. Genet Epidemiol 28:157-170.
    • (2005) Genet Epidemiol , vol.28 , pp. 157-170
    • Kooperberg, C.1    Ruczinski, I.2
  • 22
    • 0034274591 scopus 로고    scopus 로고
    • A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms
    • Lim T-S, Loh W-Y, Shih Y-S. 2000. A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learn 40:203-228.
    • (2000) Machine Learn , vol.40 , pp. 203-228
    • Lim, T.-S.1    Loh, W.-Y.2    Shih, Y.-S.3
  • 23
    • 13244265581 scopus 로고    scopus 로고
    • Information assessment on predicting protein-protein interactions
    • Lin N, Wu B, Jansen R, Gerstein M, Zhao H. 2004. Information assessment on predicting protein-protein interactions. BMC Bioinform 5:154.
    • (2004) BMC Bioinform , vol.5 , pp. 154
    • Lin, N.1    Wu, B.2    Jansen, R.3    Gerstein, M.4    Zhao, H.5
  • 24
    • 85088284160 scopus 로고    scopus 로고
    • Logistic regression tree analysis
    • Pham H, editor, Berlin: Springer, p
    • Loh W-Y. 2006. Logistic regression tree analysis. In: Pham H, editor. Handbook of Engineering Statistics. Berlin: Springer, p 537-549.
    • (2006) Handbook of Engineering Statistics , pp. 537-549
    • Loh, W.-Y.1
  • 25
    • 25444453244 scopus 로고    scopus 로고
    • Screening large-scale association study data: Exploiting interactions using random forests
    • Lunetta KL, Hayward LB, Segal J, Van Eerdewegh P. 2004. Screening large-scale association study data: exploiting interactions using random forests. BMC Genet 5:32.
    • (2004) BMC Genet , vol.5 , pp. 32
    • Lunetta, K.L.1    Hayward, L.B.2    Segal, J.3    Van Eerdewegh, P.4
  • 26
    • 38049026194 scopus 로고    scopus 로고
    • Two-stage approach for identifying SNPs associated with RA using random forests and Bayesian networks
    • Meng Y, Yang Q, Cuenco KT, Cupples LA, DeStefano AL, Lunetta KL. 2007. Two-stage approach for identifying SNPs associated with RA using random forests and Bayesian networks. BMC Proceedings 1(Suppl 1):S56.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Meng, Y.1    Yang, Q.2    Cuenco, K.T.3    Cupples, L.A.4    DeStefano, A.L.5    Lunetta, K.L.6
  • 27
    • 38049039211 scopus 로고    scopus 로고
    • Miller MB, Li M, Lind G, Jang S-Y. 2007. Problem 3: Simulated rheumatoid arthritis data. BMC Proceedings 1(Suppl 1):S4. Mojirsheibani M. 1999. Combining classifiers via discretization. J Am Stat Assoc 94:600-609.
    • Miller MB, Li M, Lind G, Jang S-Y. 2007. Problem 3: Simulated rheumatoid arthritis data. BMC Proceedings 1(Suppl 1):S4. Mojirsheibani M. 1999. Combining classifiers via discretization. J Am Stat Assoc 94:600-609.
  • 28
    • 0000229628 scopus 로고
    • A system for induction of oblique decision trees
    • Murthy SK, Kasif S, Salzberg S. 1994. A system for induction of oblique decision trees. JAIR 2:1-32.
    • (1994) JAIR , vol.2 , pp. 1-32
    • Murthy, S.K.1    Kasif, S.2    Salzberg, S.3
  • 29
    • 38049094958 scopus 로고    scopus 로고
    • Logistic regression trees for initial selection of interesting loci in case-control studies
    • Nickolov RZ, Milanov VB. 2007. Logistic regression trees for initial selection of interesting loci in case-control studies. BMC Proceedings 1(Suppl 1):S57.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Nickolov, R.Z.1    Milanov, V.B.2
  • 30
    • 38049089317 scopus 로고    scopus 로고
    • Stability of variable importance scores and rankings using statistical learning tools on single nucleotide polymorphisms (SNPs) and risk factors involved in gene-gene and gene-environment interactions
    • Nicodemus KK, Wang W, Shugart YY. 2007. Stability of variable importance scores and rankings using statistical learning tools on single nucleotide polymorphisms (SNPs) and risk factors involved in gene-gene and gene-environment interactions. BMC Proceedings 1(Suppl 1):S58.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Nicodemus, K.K.1    Wang, W.2    Shugart, Y.Y.3
  • 31
    • 38049028539 scopus 로고    scopus 로고
    • Association mapping through heuristic evolutionary history reconstruction - application to GAW 15 problem 3
    • Platt A. 2007. Association mapping through heuristic evolutionary history reconstruction - application to GAW 15 problem 3. BMC Proceedings 1(Suppl 1):S131.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Platt, A.1
  • 32
    • 0001495905 scopus 로고
    • Learning with continuous classes
    • Adams L, Sterling N, editors, Singapore: World Scientific. p
    • Quinlan JR. 1992. Learning with continuous classes. In: Adams L, Sterling N, editors. 5th Australian Joint Conference on Artificial Intelligence, Singapore: World Scientific. p 343-348.
    • (1992) 5th Australian Joint Conference on Artificial Intelligence , pp. 343-348
    • Quinlan, J.R.1
  • 33
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire RE. 1990. The strength of weak learnability. Machine Learn 5:197-227.
    • (1990) Machine Learn , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 35
    • 38049013701 scopus 로고    scopus 로고
    • Detecting disease causing genes by LASSO patternsearch algorithm
    • Shi W, Lee K, Wahba G. 2007. Detecting disease causing genes by LASSO patternsearch algorithm. BMC Proceedings 1(Suppl 1):S60.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Shi, W.1    Lee, K.2    Wahba, G.3
  • 36
    • 38049028256 scopus 로고    scopus 로고
    • Modeling activation of inflammatory response system: A molecular-genetic neural network analysis
    • Stassen HH, Szegedi A, Scharfetter C. 2007. Modeling activation of inflammatory response system: a molecular-genetic neural network analysis. BMC Proceedings 1(Suppl 1):S61.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Stassen, H.H.1    Szegedi, A.2    Scharfetter, C.3
  • 38
    • 34548250123 scopus 로고    scopus 로고
    • Unbiased split selection for classification trees based on the Gini Index
    • Strobl C, Boulesteix A-L, Augustin T. 2007a. Unbiased split selection for classification trees based on the Gini Index. Comput Stat Data Anal 52:483-501.
    • (2007) Comput Stat Data Anal , vol.52 , pp. 483-501
    • Strobl, C.1    Boulesteix, A.-L.2    Augustin, T.3
  • 39
    • 33847096395 scopus 로고    scopus 로고
    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Strobl C, Boulesteix AL, Zeileis A, Hothorn T. 2007b. Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinform 8:25.
    • (2007) BMC Bioinform , vol.8 , pp. 25
    • Strobl, C.1    Boulesteix, A.L.2    Zeileis, A.3    Hothorn, T.4
  • 40
    • 38049048625 scopus 로고    scopus 로고
    • Classification of rheumatoid arthritis status with candidate gene and genome wide SNPs using random forests
    • Sun YV, Cai Z, Desai K, Lawrance R, Leff R, Jawaid A, Kardia SLR, Yang H. 2007. Classification of rheumatoid arthritis status with candidate gene and genome wide SNPs using random forests. BMC Proceedings 1(Suppl 1):S62.
    • (2007) BMC Proceedings , vol.1 , Issue.SUPPL. 1
    • Sun, Y.V.1    Cai, Z.2    Desai, K.3    Lawrance, R.4    Leff, R.5    Jawaid, A.6    Kardia, S.L.R.7    Yang, H.8
  • 41
    • 0023425198 scopus 로고
    • A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping. I. Basic theory and an analysis of alcohol dehydrogenase activity in Drosophila
    • Templeton AR, Boerwinkle E, Sing CF. 1987. A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping. I. Basic theory and an analysis of alcohol dehydrogenase activity in Drosophila. Genetics 117:343-351.
    • (1987) Genetics , vol.117 , pp. 343-351
    • Templeton, A.R.1    Boerwinkle, E.2    Sing, C.F.3


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