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Volumn 72, Issue C, 2010, Pages 73-99

Multigenic Modeling of Complex Disease by Random Forests

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; BOOK; GENERAL ASPECTS OF DISEASE; GENETIC ASSOCIATION; GENETIC PREDISPOSITION; GENETICS; HUMAN; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 77958469133     PISSN: 00652660     EISSN: None     Source Type: Book Series    
DOI: 10.1016/B978-0-12-380862-2.00004-7     Document Type: Book
Times cited : (30)

References (56)
  • 1
    • 55449120805 scopus 로고    scopus 로고
    • Genetic mapping in human disease
    • Altshuler D., Daly M.J., Lander E.S. Genetic mapping in human disease. Science 2008, 322:881-888.
    • (2008) Science , vol.322 , pp. 881-888
    • Altshuler, D.1    Daly, M.J.2    Lander, E.S.3
  • 3
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Mach. Learn. 2001, 45:5-32.
    • (2001) Mach. Learn. , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 28944450149 scopus 로고    scopus 로고
    • Prediction of protein-protein interactions using random decision forest framework
    • Chen X.W., Liu M. Prediction of protein-protein interactions using random decision forest framework. Bioinformatics 2005, 21:4394-4400.
    • (2005) Bioinformatics , vol.21 , pp. 4394-4400
    • Chen, X.W.1    Liu, M.2
  • 9
    • 67349166946 scopus 로고    scopus 로고
    • Genome-wide association studies: Detecting gene-gene interactions that underlie human diseases
    • Cordell H.J. Genome-wide association studies: Detecting gene-gene interactions that underlie human diseases. Nat. Rev. Genet. 2009, 10:392-404.
    • (2009) Nat. Rev. Genet. , vol.10 , pp. 392-404
    • Cordell, H.J.1
  • 10
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using random forest
    • Diaz-Uriarte R., Alvarez de Andres S. Gene selection and classification of microarray data using random forest. BMC Bioinformatics 2006, 7:3.
    • (2006) BMC Bioinformatics , vol.7 , pp. 3
    • Diaz-Uriarte, R.1    Alvarez de Andres, S.2
  • 12
    • 66049159816 scopus 로고    scopus 로고
    • Genetic architecture of quantitative traits in mice, flies, and humans
    • Flint J., Mackay T.F. Genetic architecture of quantitative traits in mice, flies, and humans. Genome Res. 2009, 19:723-733.
    • (2009) Genome Res. , vol.19 , pp. 723-733
    • Flint, J.1    Mackay, T.F.2
  • 13
    • 62549085618 scopus 로고    scopus 로고
    • Human genetic variation and its contribution to complex traits
    • Frazer K.A., Murray S.S., Schork N.J., Topol E.J. Human genetic variation and its contribution to complex traits. Nat. Rev. Genet. 2009, 10:241-251.
    • (2009) Nat. Rev. Genet. , vol.10 , pp. 241-251
    • Frazer, K.A.1    Murray, S.S.2    Schork, N.J.3    Topol, E.J.4
  • 14
    • 33747889797 scopus 로고    scopus 로고
    • Predictive learning via rule ensembles
    • Stanford University
    • Friedman J.H., Popescu B.E. Predictive learning via rule ensembles. Technical Report 2005, Stanford University.
    • (2005) Technical Report
    • Friedman, J.H.1    Popescu, B.E.2
  • 24
    • 79959524146 scopus 로고    scopus 로고
    • A haplotype map of the human genome
    • International HapMap Consortium
    • International HapMap Consortium A haplotype map of the human genome. Nature 2005, 437:1299-1320.
    • (2005) Nature , vol.437 , pp. 1299-1320
  • 26
    • 2942513120 scopus 로고    scopus 로고
    • Application of the random forest classification algorithm to a SELDI-TOF proteomics study in the setting of a cancer prevention trial
    • Izmirlian G. Application of the random forest classification algorithm to a SELDI-TOF proteomics study in the setting of a cancer prevention trial. Ann. N.Y. Acad. Sci. 2004, 1020:154-174.
    • (2004) Ann. N.Y. Acad. Sci. , vol.1020 , pp. 154-174
    • Izmirlian, G.1
  • 27
    • 1542573450 scopus 로고    scopus 로고
    • Classification trees with unbiased multiway splits
    • Kim H., Loh W.Y. Classification trees with unbiased multiway splits. J. Am. Stat. Assoc. 2001, 96:589-604.
    • (2001) J. Am. Stat. Assoc. , vol.96 , pp. 589-604
    • Kim, H.1    Loh, W.Y.2
  • 29
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
    • Kuncheva L.I., Whitaker C.J. Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy. Mach. Learn. 2003, 51:181-207.
    • (2003) Mach. Learn. , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 30
    • 25444453244 scopus 로고    scopus 로고
    • Screening large-scale association study data: Exploiting interactions using random forests
    • Lunetta K.L., Hayward L.B., Segal J., Van Eerdewegh P. Screening large-scale association study data: Exploiting interactions using random forests. BMC Genet. 2004, 5:32.
    • (2004) BMC Genet. , vol.5 , pp. 32
    • Lunetta, K.L.1    Hayward, L.B.2    Segal, J.3    Van Eerdewegh, P.4
  • 33
    • 69449103972 scopus 로고    scopus 로고
    • Epistasis and its implications for personal genetics
    • Moore J.H., Williams S.M. Epistasis and its implications for personal genetics. Am. J. Hum. Genet. 2009, 85:309-320.
    • (2009) Am. J. Hum. Genet. , vol.85 , pp. 309-320
    • Moore, J.H.1    Williams, S.M.2
  • 34
    • 77949497074 scopus 로고    scopus 로고
    • Bioinformatics challenges for genome-wide association studies
    • Moore J.H., Asselbergs F.W., Williams S.M. Bioinformatics challenges for genome-wide association studies. Bioinformatics 2010, 26:445-455.
    • (2010) Bioinformatics , vol.26 , pp. 445-455
    • Moore, J.H.1    Asselbergs, F.W.2    Williams, S.M.3
  • 36
    • 67650770061 scopus 로고    scopus 로고
    • Predictor correlation impacts machine learning algorithms: Implications for genomic studies
    • Nicodemus K.K., Malley J.D. Predictor correlation impacts machine learning algorithms: Implications for genomic studies. Bioinformatics 2009, 25:1884-1890.
    • (2009) Bioinformatics , vol.25 , pp. 1884-1890
    • Nicodemus, K.K.1    Malley, J.D.2
  • 37
    • 77949388276 scopus 로고    scopus 로고
    • The behaviour of random forest permutation-based variable importance measures under predictor correlation
    • Nicodemus K.K., Malley J.D., Strobl C., Ziegler A. The behaviour of random forest permutation-based variable importance measures under predictor correlation. BMC Bioinformatics 2010, 11:110.
    • (2010) BMC Bioinformatics , vol.11 , pp. 110
    • Nicodemus, K.K.1    Malley, J.D.2    Strobl, C.3    Ziegler, A.4
  • 38
    • 77149120471 scopus 로고    scopus 로고
    • Association between a literature-based genetic risk score and cardiovascular events in women
    • Paynter N.P., Chasman D.I., Pare G., Buring J.E., Cook N.R., Miletich J.P., Ridker P.M. Association between a literature-based genetic risk score and cardiovascular events in women. JAMA 2010, 303:631-637.
    • (2010) JAMA , vol.303 , pp. 631-637
    • Paynter, N.P.1    Chasman, D.I.2    Pare, G.3    Buring, J.E.4    Cook, N.R.5    Miletich, J.P.6    Ridker, P.M.7
  • 39
    • 54149088214 scopus 로고    scopus 로고
    • Epistasis-The essential role of gene interactions in the structure and evolution of genetic systems
    • Phillips P.C. Epistasis-The essential role of gene interactions in the structure and evolution of genetic systems. Nat. Rev. Genet. 2008, 9:855-867.
    • (2008) Nat. Rev. Genet. , vol.9 , pp. 855-867
    • Phillips, P.C.1
  • 41
    • 15944418607 scopus 로고    scopus 로고
    • Random forest similarity for protein-protein interaction prediction from multiple sources
    • Qi Y., Klein-Seetharaman J., Bar-Joseph Z. Random forest similarity for protein-protein interaction prediction from multiple sources. Pac. Symp. Biocomput. 2005, 531-542.
    • (2005) Pac. Symp. Biocomput. , pp. 531-542
    • Qi, Y.1    Klein-Seetharaman, J.2    Bar-Joseph, Z.3
  • 44
    • 34250698845 scopus 로고    scopus 로고
    • A feature selection method for multilevel mental fatigue EEG classification
    • Shen K.Q., Ong C.J., Li X.P., Hui Z., Wilder-Smith E. A feature selection method for multilevel mental fatigue EEG classification. IEEE Trans. Biomed. Eng. 2007, 54:1231-1237.
    • (2007) IEEE Trans. Biomed. Eng. , vol.54 , pp. 1231-1237
    • Shen, K.Q.1    Ong, C.J.2    Li, X.P.3    Hui, Z.4    Wilder-Smith, E.5
  • 45
    • 16444381830 scopus 로고    scopus 로고
    • Tumor classification by tissue microarray profiling: Random forest clustering applied to renal cell carcinoma
    • Shi T., Seligson D., Belldegrun A.S., Palotie A., Horvath S. Tumor classification by tissue microarray profiling: Random forest clustering applied to renal cell carcinoma. Mod. Pathol. 2005, 18:547-557.
    • (2005) Mod. Pathol. , vol.18 , pp. 547-557
    • Shi, T.1    Seligson, D.2    Belldegrun, A.S.3    Palotie, A.4    Horvath, S.5
  • 46
    • 0023512769 scopus 로고
    • Genetic architecture of inter-individual variability in apolipoprotein, lipoprotein and lipid phenotypes
    • Sing C.F., Boerwinkle E.A. Genetic architecture of inter-individual variability in apolipoprotein, lipoprotein and lipid phenotypes. Ciba Found. Symp. 1987, 130:99-127.
    • (1987) Ciba Found. Symp. , vol.130 , pp. 99-127
    • Sing, C.F.1    Boerwinkle, E.A.2
  • 48
    • 34548250123 scopus 로고    scopus 로고
    • Unbiased split selection for classification trees based on the Gini Index
    • Strobl C., Boulesteix A.L., Augustin T. Unbiased split selection for classification trees based on the Gini Index. Comput. Stat. Data Anal. 2007, 52:483-501.
    • (2007) Comput. Stat. Data Anal. , vol.52 , pp. 483-501
    • Strobl, C.1    Boulesteix, A.L.2    Augustin, T.3
  • 49
    • 33847096395 scopus 로고    scopus 로고
    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Strobl C., Boulesteix A.L., Zeileis A., Hothorn T. Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics 2007, 8:25.
    • (2007) BMC Bioinformatics , vol.8 , pp. 25
    • Strobl, C.1    Boulesteix, A.L.2    Zeileis, A.3    Hothorn, T.4
  • 51
    • 38049048625 scopus 로고    scopus 로고
    • Classification of rheumatoid arthritis status with candidate gene and genome-wide single-nucleotide polymorphisms using random forests
    • Sun Y.V., Cai Z., Desai K., Lawrance R., Leff R., Jawaid A., Kardia S.L., Yang H. Classification of rheumatoid arthritis status with candidate gene and genome-wide single-nucleotide polymorphisms using random forests. BMC Proc. 2007, 1(Suppl. 1):S62.
    • (2007) BMC Proc. , 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.7    Yang, H.8
  • 52
  • 54
    • 71249150835 scopus 로고    scopus 로고
    • Identification of genes and haplotypes that predict rheumatoid arthritis using random forests
    • Tang R., Sinnwell J.P., Li J., Rider D.N., de Andrade M., Biernacka J.M. Identification of genes and haplotypes that predict rheumatoid arthritis using random forests. BMC Proc. 2009, 3(Suppl. 7):S68.
    • (2009) BMC Proc. , vol.3 , Issue.SUPPL. 7
    • Tang, R.1    Sinnwell, J.P.2    Li, J.3    Rider, D.N.4    de Andrade, M.5    Biernacka, J.M.6
  • 55
    • 79959503826 scopus 로고    scopus 로고
    • The International HapMap Project
    • The International HapMap Consortium
    • The International HapMap Consortium The International HapMap Project. Nature 2003, 426:789-796.
    • (2003) Nature , vol.426 , pp. 789-796


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