메뉴 건너뛰기




Volumn 18, Issue 2, 2014, Pages 50-57

Big data analysis using modern statistical and machine learning methods in medicine

Author keywords

Bayesian analysis; Statistical data interpretation; Systems biology

Indexed keywords

BAYES THEOREM; BEHAVIORAL SCIENCE; BIOINFORMATICS; CLINICAL STUDY; DATA ANALYSIS; EPIGENETIC REPRESSION; EPIGENETICS; GENE EXPRESSION; GENOME; GENOMICS; GENOTYPE ENVIRONMENT INTERACTION; KNOWLEDGE; LINEAR REGRESSION ANALYSIS; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; MEDICINE; PROTEOMICS; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS;

EID: 84903641893     PISSN: 20934777     EISSN: 20936931     Source Type: Journal    
DOI: 10.5213/inj.2014.18.2.50     Document Type: Review
Times cited : (89)

References (53)
  • 2
    • 84883668075 scopus 로고    scopus 로고
    • Implementation of an outpatient electronic health record and emergency department visits, hospitalizations, and office visits among patients with diabetes
    • Reed M, Huang J, Brand R, Graetz I, Neugebauer R, Fireman B, et al. Implementation of an outpatient electronic health record and emergency department visits, hospitalizations, and office visits among patients with diabetes. JAMA 2013;310:1060-5.
    • (2013) JAMA , vol.310 , pp. 1060-1065
    • Reed, M.1    Huang, J.2    Brand, R.3    Graetz, I.4    Neugebauer, R.5    Fireman, B.6
  • 3
    • 84882952520 scopus 로고    scopus 로고
    • Improved blood pressure control associated with a large-scale hypertension program
    • Jaffe MG, Lee GA, Young JD, Sidney S, Go AS. Improved blood pressure control associated with a large-scale hypertension program. JAMA 2013;310:699-705.
    • (2013) JAMA , vol.310 , pp. 699-705
    • Jaffe, M.G.1    Lee, G.A.2    Young, J.D.3    Sidney, S.4    Go, A.S.5
  • 4
    • 80455143321 scopus 로고    scopus 로고
    • Maternal risk factors for congenital urinary anomalies: results of a population- based case-control study
    • Shnorhavorian M, Bittner R, Wright JL, Schwartz SM. Maternal risk factors for congenital urinary anomalies: results of a population- based case-control study. Urology 2011;78:1156-61.
    • (2011) Urology , vol.78 , pp. 1156-1161
    • Shnorhavorian, M.1    Bittner, R.2    Wright, J.L.3    Schwartz, S.M.4
  • 6
    • 79953906199 scopus 로고    scopus 로고
    • Tumor size is a potential predictor of response to tyrosine kinase inhibitors in renal cell cancer
    • Yuasa T, Urakami S, Yamamoto S, Yonese J, Nakano K, Kodaira M, et al. Tumor size is a potential predictor of response to tyrosine kinase inhibitors in renal cell cancer. Urology 2011;77:831-5.
    • (2011) Urology , vol.77 , pp. 831-835
    • Yuasa, T.1    Urakami, S.2    Yamamoto, S.3    Yonese, J.4    Nakano, K.5    Kodaira, M.6
  • 7
    • 37249085147 scopus 로고    scopus 로고
    • Identification of SNP interactions using logic regression
    • Schwender H, Ickstadt K. Identification of SNP interactions using logic regression. Biostatistics 2008;9:187-98.
    • (2008) Biostatistics , vol.9 , pp. 187-198
    • Schwender, H.1    Ickstadt, K.2
  • 9
    • 70349607953 scopus 로고    scopus 로고
    • Pair-wise multifactor dimensionality reduction method to detect gene-gene interactions in a case-control study
    • He H, Oetting WS, Brott MJ, Basu S. Pair-wise multifactor dimensionality reduction method to detect gene-gene interactions in a case-control study. Hum Hered 2010;69:60-70.
    • (2010) Hum Hered , vol.69 , pp. 60-70
    • He, H.1    Oetting, W.S.2    Brott, M.J.3    Basu, S.4
  • 10
    • 78650115977 scopus 로고    scopus 로고
    • A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility
    • Gui J, Andrew AS, Andrews P, Nelson HM, Kelsey KT, Karagas MR, et al. A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility. Ann Hum Genet 2011;75:20-8.
    • (2011) Ann Hum Genet , vol.75 , pp. 20-28
    • Gui, J.1    Andrew, A.S.2    Andrews, P.3    Nelson, H.M.4    Kelsey, K.T.5    Karagas, M.R.6
  • 12
    • 3042632570 scopus 로고    scopus 로고
    • An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways
    • Yoo C, Cooper GF. An evaluation of a system that recommends microarray experiments to perform to discover gene-regulation pathways. Artif Intell Med 2004;31:169-82.
    • (2004) Artif Intell Med , vol.31 , pp. 169-182
    • Yoo, C.1    Cooper, G.F.2
  • 13
    • 79952116721 scopus 로고    scopus 로고
    • A gene expression signature that predicts the therapeutic response of the basal-like breast cancer to neoadjuvant chemotherapy
    • Lin Y, Lin S, Watson M, Trinkaus KM, Kuo S, Naughton MJ, et al. A gene expression signature that predicts the therapeutic response of the basal-like breast cancer to neoadjuvant chemotherapy. Breast Cancer Res Treat 2010;123:691-9.
    • (2010) Breast Cancer Res Treat , vol.123 , pp. 691-699
    • Lin, Y.1    Lin, S.2    Watson, M.3    Trinkaus, K.M.4    Kuo, S.5    Naughton, M.J.6
  • 14
    • 75649101282 scopus 로고    scopus 로고
    • Gene expression signatures in breast cancer distinguish phenotype characteristics, histologic subtypes, and tumor invasiveness
    • Pedraza V, Gomez-Capilla JA, Escaramis G, Gomez C, Torne P, Rivera JM, et al. Gene expression signatures in breast cancer distinguish phenotype characteristics, histologic subtypes, and tumor invasiveness. Cancer 2010;116:486-96.
    • (2010) Cancer , vol.116 , pp. 486-496
    • Pedraza, V.1    Gomez-Capilla, J.A.2    Escaramis, G.3    Gomez, C.4    Torne, P.5    Rivera, J.M.6
  • 15
    • 84862893699 scopus 로고    scopus 로고
    • Gene pathways discovery in asbestos-related diseases using local causal discovery algorithm
    • Yoo C, Brilzb EM, Wilcox M, Pershousec MA, Putnam EA. Gene pathways discovery in asbestos-related diseases using local causal discovery algorithm. Commun Stat Simul Comput 2012;41:1840-59.
    • (2012) Commun Stat Simul Comput , vol.41 , pp. 1840-1859
    • Yoo, C.1    Brilzb, E.M.2    Wilcox, M.3    Pershousec, M.A.4    Putnam, E.A.5
  • 16
    • 3042565738 scopus 로고    scopus 로고
    • Galton, Pearson, and the Peas: a brief history of linear regression for statistics instructors
    • Stanton, JM. Galton, Pearson, and the Peas: a brief history of linear regression for statistics instructors. J Stat Educ 2001;9(3).
    • (2001) J Stat Educ , vol.9 , Issue.3
    • Stanton, J.M.1
  • 17
    • 84874216557 scopus 로고    scopus 로고
    • Discovering gene-gene and gene-environment causal interactions using Bioinformatics approaches
    • Roy D, Dorak MT, editors, New York: Springer
    • Yoo C. Discovering gene-gene and gene-environment causal interactions using Bioinformatics approaches. In: Roy D, Dorak MT, editors. Environmental factors, genes, and the development of human cancers. New York: Springer; 2010. p. 115-38.
    • (2010) Environmental factors, genes, and the development of human cancers , pp. 115-138
    • Yoo, C.1
  • 18
    • 0031742022 scopus 로고    scopus 로고
    • Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization
    • Spellman PT, Sherlock G, Zhang MQ, Iyer VR, Anders K, Eisen MB, et al. Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization. Mol Biol Cell 1998;9:3273-97.
    • (1998) Mol Biol Cell , vol.9 , pp. 3273-3297
    • Spellman, P.T.1    Sherlock, G.2    Zhang, M.Q.3    Iyer, V.R.4    Anders, K.5    Eisen, M.B.6
  • 19
    • 0035805255 scopus 로고    scopus 로고
    • Integrated genomic and proteomic analyses of a systematically perturbed metabolic network
    • Ideker T, Thorsson V, Ranish JA, Christmas R, Buhler J, Eng JK, et al. Integrated genomic and proteomic analyses of a systematically perturbed metabolic network. Science 2001;292:929-34.
    • (2001) Science , vol.292 , pp. 929-934
    • Ideker, T.1    Thorsson, V.2    Ranish, J.A.3    Christmas, R.4    Buhler, J.5    Eng, J.K.6
  • 20
    • 43249129715 scopus 로고    scopus 로고
    • Gene-environment interaction in yeast gene expression
    • Smith EN, Kruglyak L. Gene-environment interaction in yeast gene expression. PLoS Biol 2008;6:e83.
    • (2008) PLoS Biol , vol.6
    • Smith, E.N.1    Kruglyak, L.2
  • 22
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
    • Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999;286:531-7.
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1    Slonim, D.K.2    Tamayo, P.3    Huard, C.4    Gaasenbeek, M.5    Mesirov, J.P.6
  • 24
    • 0034598746 scopus 로고    scopus 로고
    • Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
    • Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000;403:503-11.
    • (2000) Nature , vol.403 , pp. 503-511
    • Alizadeh, A.A.1    Eisen, M.B.2    Davis, R.E.3    Ma, C.4    Lossos, I.S.5    Rosenwald, A.6
  • 25
    • 0034710876 scopus 로고    scopus 로고
    • Coupled two-way clustering analysis of gene microarray data
    • Getz G, Levine E, Domany E. Coupled two-way clustering analysis of gene microarray data. Proc Natl Acad Sci U S A 2000;97:12079-84.
    • (2000) Proc Natl Acad Sci U S A , vol.97 , pp. 12079-12084
    • Getz, G.1    Levine, E.2    Domany, E.3
  • 26
    • 0002054202 scopus 로고    scopus 로고
    • Modeling the complexity of genetic networks:understanding multigenetic and pleiotropic regulation
    • Somogyi R, Sniegoski CA. Modeling the complexity of genetic networks:understanding multigenetic and pleiotropic regulation. Complexity 1996;1:45-63.
    • (1996) Complexity , vol.1 , pp. 45-63
    • Somogyi, R.1    Sniegoski, C.A.2
  • 27
    • 0013823048 scopus 로고
    • Oscillatory behavior in enzymatic control processes
    • Goodwin BC. Oscillatory behavior in enzymatic control processes. Adv Enzyme Regul 1965;3:425-38.
    • (1965) Adv Enzyme Regul , vol.3 , pp. 425-438
    • Goodwin, B.C.1
  • 28
    • 0014319313 scopus 로고
    • Mathematics of cellular control processes. I. Negative feedback to one gene
    • Griffith JS. Mathematics of cellular control processes. I. Negative feedback to one gene. J Theor Biol 1968;20:202-8.
    • (1968) J Theor Biol , vol.20 , pp. 202-208
    • Griffith, J.S.1
  • 29
    • 0014318637 scopus 로고
    • Mathematics of cellular control processes. II. Positive feedback to one gene
    • Griffith JS. Mathematics of cellular control processes. II. Positive feedback to one gene. J Theor Biol 1968;20:209-16.
    • (1968) J Theor Biol , vol.20 , pp. 209-216
    • Griffith, J.S.1
  • 30
    • 0032611513 scopus 로고    scopus 로고
    • Modeling gene expression with differential equations
    • Chen T, He HL, Church GM. Modeling gene expression with differential equations. Pac Symp Biocomput 1999:29-40.
    • (1999) Pac Symp Biocomput , pp. 29-40
    • Chen, T.1    He, H.L.2    Church, G.M.3
  • 31
    • 0031193396 scopus 로고    scopus 로고
    • INKBLOT: a neurological diagnostic decision support system integrating causal and anatomical knowledge
    • Citro G, Banks G, Cooper G. INKBLOT: a neurological diagnostic decision support system integrating causal and anatomical knowledge. Artif Intell Med 1997;10:257-67.
    • (1997) Artif Intell Med , vol.10 , pp. 257-267
    • Citro, G.1    Banks, G.2    Cooper, G.3
  • 33
    • 0034235303 scopus 로고    scopus 로고
    • A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU
    • Lucas PJ, de Bruijn NC, Schurink K, Hoepelman A. A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif Intell Med 2000;19:251-79.
    • (2000) Artif Intell Med , vol.19 , pp. 251-279
    • Lucas, P.J.1    de Bruijn, N.C.2    Schurink, K.3    Hoepelman, A.4
  • 34
    • 0003927182 scopus 로고
    • Probabilistic inference using belief networks is NP-hard
    • Stanford, CA: Stanford University
    • Cooper GF. Probabilistic inference using belief networks is NP-hard. Stanford, CA: Stanford University; 1987.
    • (1987)
    • Cooper, G.F.1
  • 35
    • 0003391330 scopus 로고
    • Probabilistic reasoning in intelligent systems: networks of plausible inference
    • San Mateo, CA: Morgan Kaufmann
    • Pearl J. Probabilistic reasoning in intelligent systems: networks of plausible inference. San Mateo, CA: Morgan Kaufmann; 1988.
    • (1988)
    • Pearl, J.1
  • 36
    • 0004158155 scopus 로고    scopus 로고
    • Modelling gene expression data using dynamic bayesian networks. Technical report
    • Berkeley, CA: Computer Science Division, University of California; Life Sciences Division, Lawrence Berkeley National Laboratory
    • Murphy K, Mian S. Modelling gene expression data using dynamic bayesian networks. Technical report. Berkeley, CA: Computer Science Division, University of California; Life Sciences Division, Lawrence Berkeley National Laboratory; 1999.
    • (1999)
    • Murphy, K.1    Mian, S.2
  • 37
    • 0032612220 scopus 로고    scopus 로고
    • Linear modeling of mRNA expression levels during CNS development and injury
    • D'haeseleer P, Wen X, Fuhrman S, Somogyi R. Linear modeling of mRNA expression levels during CNS development and injury. Pac Symp Biocomput 1999:41-52.
    • (1999) Pac Symp Biocomput , pp. 41-52
    • D'haeseleer, P.1    Wen, X.2    Fuhrman, S.3    Somogyi, R.4
  • 39
    • 0029028963 scopus 로고
    • Circuit simulation of genetic networks
    • McAdams HH, Shapiro L. Circuit simulation of genetic networks. Science 1995;269:650-6.
    • (1995) Science , vol.269 , pp. 650-656
    • McAdams, H.H.1    Shapiro, L.2
  • 40
    • 0032549745 scopus 로고    scopus 로고
    • Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene
    • Yuh CH, Bolouri H, Davidson EH. Genomic cis-regulatory logic: experimental and computational analysis of a sea urchin gene. Science 1998;279:1896-902.
    • (1998) Science , vol.279 , pp. 1896-1902
    • Yuh, C.H.1    Bolouri, H.2    Davidson, E.H.3
  • 42
    • 0032605507 scopus 로고    scopus 로고
    • Analysis of the stabilizing effect of Rom on the genetic network controlling ColE1 plasmid replication
    • Goss PJ, Peccoud J. Analysis of the stabilizing effect of Rom on the genetic network controlling ColE1 plasmid replication. Pac Symp Biocomput 1999:65-76.
    • (1999) Pac Symp Biocomput , pp. 65-76
    • Goss, P.J.1    Peccoud, J.2
  • 44
    • 0032169120 scopus 로고    scopus 로고
    • A society of goal-oriented agents for the analysis of living cells
    • Boucher A, Doisy A, Ronot X, Garbay C. A society of goal-oriented agents for the analysis of living cells. Artif Intell Med 1998;14:183-99.
    • (1998) Artif Intell Med , vol.14 , pp. 183-199
    • Boucher, A.1    Doisy, A.2    Ronot, X.3    Garbay, C.4
  • 45
    • 0035230209 scopus 로고    scopus 로고
    • Reverse engineering of metabolic pathways from observed data using genetic programming
    • Koza JR, Mydlowec W, Lanza G, Yu J, Keane MA. Reverse engineering of metabolic pathways from observed data using genetic programming. Pac Symp Biocomput 2001:434-45.
    • (2001) Pac Symp Biocomput , pp. 434-445
    • Koza, J.R.1    Mydlowec, W.2    Lanza, G.3    Yu, J.4    Keane, M.A.5
  • 47
    • 33745079199 scopus 로고    scopus 로고
    • 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. The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases. BMC Genet 2006;7:23.
    • (2006) BMC Genet , vol.7 , pp. 23
    • Heidema, A.G.1    Boer, J.M.2    Nagelkerke, N.3    Mariman, E.C.4    van der, A.D.L.5    Feskens, E.J.6
  • 48
    • 0033528703 scopus 로고    scopus 로고
    • Probability at the bedside: the knowing of chances or the chances of knowing?
    • Goodman SN. Probability at the bedside: the knowing of chances or the chances of knowing? Ann Intern Med 1999;130:604-6.
    • (1999) Ann Intern Med , vol.130 , pp. 604-606
    • Goodman, S.N.1
  • 49
    • 34249337761 scopus 로고    scopus 로고
    • Perceptions of epigenetics
    • Bird A. Perceptions of epigenetics. Nature 2007;447:396-8.
    • (2007) Nature , vol.447 , pp. 396-398
    • Bird, A.1
  • 50
    • 84857517396 scopus 로고    scopus 로고
    • Statistical inference of transmission fidelity of DNA methylation patterns over somatic cell divisions in mammals
    • Fu AQ, Genereux DP, Stoger R, Laird CD, Stephens M. Statistical inference of transmission fidelity of DNA methylation patterns over somatic cell divisions in mammals. Ann Appl Stat 2010;4:871-92.
    • (2010) Ann Appl Stat , vol.4 , pp. 871-892
    • Fu, A.Q.1    Genereux, D.P.2    Stoger, R.3    Laird, C.D.4    Stephens, M.5
  • 51
    • 83755224300 scopus 로고    scopus 로고
    • Significance analysis and statistical dissection of variably methylated regions
    • Jaffe AE, Feinberg AP, Irizarry RA, Leek JT. Significance analysis and statistical dissection of variably methylated regions. Biostatistics 2012;13:166-78.
    • (2012) Biostatistics , vol.13 , pp. 166-178
    • Jaffe, A.E.1    Feinberg, A.P.2    Irizarry, R.A.3    Leek, J.T.4
  • 52
    • 79958805159 scopus 로고    scopus 로고
    • Statistical quantification of methylation levels by next-generation sequencing
    • Wu G, Yi N, Absher D, Zhi D. Statistical quantification of methylation levels by next-generation sequencing. PLoS One 2011; 6:e21034.
    • (2011) PLoS One , vol.6
    • Wu, G.1    Yi, N.2    Absher, D.3    Zhi, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.