메뉴 건너뛰기




Volumn 11, Issue 4, 2010, Pages 403-416

Developing computational model-based diagnostics to analyse clinical chemistry data

Author keywords

Clinical chemistry; Clinical diagnostics; Computational modelling; Lipoprotein metabolism; Particle profiler; Probabilistic and deterministic modelling

Indexed keywords

ARTICLE; COMPUTER SIMULATION; DIAGNOSIS; HUMAN;

EID: 77955044095     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbp071     Document Type: Article
Times cited : (6)

References (45)
  • 1
    • 59149084187 scopus 로고    scopus 로고
    • Model-based therapeutic correction of hypothalamic-pituitary-adrenal axis dysfunction
    • Ben-Zvi A, Vernon SD, Broderick G. Model-based therapeutic correction of hypothalamic-pituitary-adrenal axis dysfunction. PLoS Comput Biol 2009;5(1): e1000273. doi:10.1371/journal.pcbi.1000273.
    • (2009) PLoS Comput Biol , vol.5 , Issue.1
    • Ben-Zvi, A.1    Vernon, S.D.2    Broderick, G.3
  • 2
    • 33645963159 scopus 로고    scopus 로고
    • Investigating postmenopausal bleeding for endometrial cancer: costeffectiveness of initial diagnostic strategies
    • Clark TJ, Barton PM, Coomarasamy A, et al. Investigating postmenopausal bleeding for endometrial cancer: costeffectiveness of initial diagnostic strategies. BJOG 2006; 113:502-10.
    • (2006) BJOG , vol.113 , pp. 502-510
    • Clark, T.J.1    Barton, P.M.2    Coomarasamy, A.3
  • 3
    • 41349119550 scopus 로고    scopus 로고
    • Mechanism-based pharmacokinetic-pharmacodynamic (PK-PD) modeling in translational drug research
    • Danhof M, de Lange ECM, la Pasqua OE, et al. Mechanism-based pharmacokinetic-pharmacodynamic (PK-PD) modeling in translational drug research. Trends Pharmacol Sci 2008;29:186-91.
    • (2008) Trends Pharmacol Sci , vol.29 , pp. 186-191
    • Danhof, M.1    de Lange, E.C.M.2    la Pasqua, O.E.3
  • 4
    • 41549136895 scopus 로고    scopus 로고
    • PK/PD modelling and simulations: utility in drug development
    • Rajman I. PK/PD modelling and simulations: utility in drug development. Drug Discov Today 2008;13:341-6.
    • (2008) Drug Discov Today , vol.13 , pp. 341-346
    • Rajman, I.1
  • 5
    • 2442547202 scopus 로고    scopus 로고
    • Image-based computational fluid dynamics: a new paradigm for monitoring hemodynamics and atherosclerosis
    • Steinman DA. Image-based computational fluid dynamics: a new paradigm for monitoring hemodynamics and atherosclerosis. Curr DrugTargets Cardiovasc Haematol Disord 2004;4: 183-97.
    • (2004) Curr Drug Targets Cardiovasc Haematol Disord , vol.4 , pp. 183-197
    • Steinman, D.A.1
  • 6
    • 33746819836 scopus 로고    scopus 로고
    • Metabolomic approaches to phenotype characterization and applications to complex diseases
    • Oresic M, Vidal-Puig A, Hännninen V. Metabolomic approaches to phenotype characterization and applications to complex diseases. Expert Rev Mol Diagn 2006;6:575-85.
    • (2006) Expert Rev Mol Diagn , vol.6 , pp. 575-585
    • Oresic, M.1    Vidal-Puig, A.2    Hännninen, V.3
  • 7
    • 74449085466 scopus 로고    scopus 로고
    • Mass-spectrometrybased metabolomics: limitations and recommendations for future progress with particular focus on nutrition research
    • Scalbert A, Brennan L, Fiehn O, et al. Mass-spectrometrybased metabolomics: limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics 2009;5:435-458.
    • (2009) Metabolomics , vol.5 , pp. 435-458
    • Scalbert, A.1    Brennan, L.2    Fiehn, O.3
  • 8
    • 2142854102 scopus 로고    scopus 로고
    • Dynamic tests in the clinical management of diabetes
    • Picardi A, Pozzilli P. Dynamic tests in the clinical management of diabetes. J Endocrinol Invest 2003;26:99-106.
    • (2003) J Endocrinol Invest , vol.26 , pp. 99-106
    • Picardi, A.1    Pozzilli, P.2
  • 9
    • 50949125606 scopus 로고    scopus 로고
    • Cancer screening: a mathematical model relating secreted blood biomarker levels to tumor sizes
    • Lutz AM, Willmann JK, Cochran FV, et al. Cancer screening: a mathematical model relating secreted blood biomarker levels to tumor sizes. PLoS Med 2008;5:e170.
    • (2008) PLoS Med , vol.5
    • Lutz, A.M.1    Willmann, J.K.2    Cochran, F.V.3
  • 10
    • 0035089445 scopus 로고    scopus 로고
    • A model-based method for assessing insulin sensitivity from the oral glucose tolerance test
    • Mari A, Pacini G, Murphy E, et al. A model-based method for assessing insulin sensitivity from the oral glucose tolerance test. Diabetes Care 2001;24:539-48.
    • (2001) Diabetes Care , vol.24 , pp. 539-548
    • Mari, A.1    Pacini, G.2    Murphy, E.3
  • 12
    • 0037634183 scopus 로고    scopus 로고
    • A new mathematical model based on clinical and laboratory variables for the diagnosis of Sjögren's syndrome
    • Martin-Martin LS, Latini A, Pagano A, et al. A new mathematical model based on clinical and laboratory variables for the diagnosis of Sjögren's syndrome. Clin Rheumatol 2003; 22:123-6.
    • (2003) Clin Rheumatol , vol.22 , pp. 123-126
    • Martin-Martin, L.S.1    Latini, A.2    Pagano, A.3
  • 13
    • 0032146619 scopus 로고    scopus 로고
    • Understanding artificial neural networks and exploring their potential applications for the practicing urologist
    • Wei JT, Zhang Z, Barnhill SD, et al. Understanding artificial neural networks and exploring their potential applications for the practicing urologist. Urology 1998;52: 161-72.
    • (1998) Urology , vol.52 , pp. 161-172
    • Wei, J.T.1    Zhang, Z.2    Barnhill, S.D.3
  • 14
    • 0038199675 scopus 로고    scopus 로고
    • Fuzzy logic-based tumor marker profiles including a new marker tumor M2PK improved sensitivity to the detection of progression in lung cancer patients
    • Schneider J, Peltri G, Bitterlich N, et al. Fuzzy logic-based tumor marker profiles including a new marker tumor M2PK improved sensitivity to the detection of progression in lung cancer patients. Anticancer Res 2003;23:899-906.
    • (2003) Anticancer Res , vol.23 , pp. 899-906
    • Schneider, J.1    Peltri, G.2    Bitterlich, N.3
  • 15
    • 46849099179 scopus 로고    scopus 로고
    • Validation and discovery from computational biology models
    • Kiran M, Coakley S, Walkinshaw N, et al. Validation and discovery from computational biology models. Biosystems 2007;93:141-50.
    • (2007) Biosystems , vol.93 , pp. 141-150
    • Kiran, M.1    Coakley, S.2    Walkinshaw, N.3
  • 16
    • 35348815299 scopus 로고    scopus 로고
    • An integrated systems biology approach to understanding the rules of keratinocyte colony formation
    • Sun T, McMinn P, Coakley S, et al. An integrated systems biology approach to understanding the rules of keratinocyte colony formation. J R Soc Interface 2007;4: 1077-92.
    • (2007) J R Soc Interface , vol.4 , pp. 1077-1092
    • Sun, T.1    McMinn, P.2    Coakley, S.3
  • 17
    • 33845368513 scopus 로고    scopus 로고
    • COPASI-a COmplex PAthway SImulator
    • Hoops S, Sahle S, Gauges R, et al. COPASI-a COmplex PAthway SImulator. Bioinformatics 2006;22:3067-74.
    • (2006) Bioinformatics , vol.22 , pp. 3067-3074
    • Hoops, S.1    Sahle, S.2    Gauges, R.3
  • 18
    • 34548459831 scopus 로고    scopus 로고
    • A primer on learning in Bayesian networks for computational biology
    • doi:10.1371/journal.pcbi.0030129
    • Needham CJ, Bradford JR, Bulpitt AJ, et al. A primer on learning in Bayesian networks for computational biology. PLoS Comput Biol 2007;3:e129 doi:10.1371/journal.pcbi.0030129.
    • (2007) PLoS Comput Biol , vol.3
    • Needham, C.J.1    Bradford, J.R.2    Bulpitt, A.J.3
  • 19
    • 0033707946 scopus 로고    scopus 로고
    • Using Bayesian networks to analyze expression data
    • Friedman N, Linial M, Nachman I, et al. Using Bayesian networks to analyze expression data. J Comput Biol 2004;7: 601-20.
    • (2004) J Comput Biol , vol.7 , pp. 601-620
    • Friedman, N.1    Linial, M.2    Nachman, I.3
  • 20
    • 61349180117 scopus 로고    scopus 로고
    • Gene regulatory network inference: data integration in dynamic models-a review
    • Hecker M, Lambeck S, Toepfer S, et al. Gene regulatory network inference: data integration in dynamic models-a review. Biosystems 2009;96:86-103.
    • (2009) Biosystems , vol.96 , pp. 86-103
    • Hecker, M.1    Lambeck, S.2    Toepfer, S.3
  • 22
    • 34249858105 scopus 로고    scopus 로고
    • Mathematical models of blood coagulation and platelet adhesion: clinical applications
    • Panteleev A, Ananyeva NM, Ataullakhanov FI, et al. Mathematical models of blood coagulation and platelet adhesion: clinical applications. Curr Pharm Des 2007;13: 1457-67.
    • (2007) Curr Pharm Des , vol.13 , pp. 1457-1467
    • Panteleev, A.1    Ananyeva, N.M.2    Ataullakhanov, F.I.3
  • 23
    • 70849118648 scopus 로고    scopus 로고
    • Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size
    • van Schalkwijk DB, de Graaf AA, van Ommen B, et al. Improved cholesterol phenotype analysis by a model relating lipoprotein life cycle processes to particle size. J Lipid Res 2009;50:2398-411.
    • (2009) J Lipid. Res , vol.50 , pp. 2398-2411
    • van Schalkwijk, D.B.1    de Graaf, A.A.2    van Ommen, B.3
  • 24
    • 33947330322 scopus 로고    scopus 로고
    • Understanding diagnostic tests 1 sensitivity, specificity and predictive values
    • Akobeng AK. Understanding diagnostic tests 1: sensitivity, specificity and predictive values. Acta Paediatr 2007;96: 338-41.
    • (2007) Acta Paediatr , vol.96 , pp. 338-341
    • Akobeng, A.K.1
  • 25
  • 26
    • 34047106220 scopus 로고    scopus 로고
    • Effect of torcetrapib on the progression of coronary atherosclerosis
    • Nissen SE, Tardif JC, Nicholls SJ, et al. Effect of torcetrapib on the progression of coronary atherosclerosis. N Engl J. Med 2007;356:1304-16.
    • (2007) N Engl J. Med , vol.356 , pp. 1304-1316
    • Nissen, S.E.1    Tardif, J.C.2    Nicholls, S.J.3
  • 27
    • 36348975228 scopus 로고    scopus 로고
    • Effects of torcetrapib in patients at high risk for coronary events
    • Barter PJ, Caulfield M, Eriksson M, et al. Effects of torcetrapib in patients at high risk for coronary events. N. Engl J Med 2007;357:2109-22.
    • (2007) N Engl J. Med , vol.357 , pp. 2109-2122
    • Barter, P.J.1    Caulfield, M.2    Eriksson, M.3
  • 28
    • 0015348189 scopus 로고
    • Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge
    • Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972;18:499-502.
    • (1972) Clin Chem , vol.18 , pp. 499-502
    • Friedewald, W.T.1    Levy, R.I.2    Fredrickson, D.S.3
  • 29
    • 3142729178 scopus 로고    scopus 로고
    • Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines
    • Grundy SM, Cleeman JI, Merz CN, et al. Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation 2004;110:227-39.
    • (2004) Circulation , vol.110 , pp. 227-239
    • Grundy, S.M.1    Cleeman, J.I.2    Merz, C.N.3
  • 30
    • 0035996592 scopus 로고    scopus 로고
    • Influence of atorvastatin and simvastatin on apolipoprotein B metabolism in moderate combined hyperlipidemic subjects with low VLDL and LDL fractional clearance rates
    • Forster LF, Stewart G, Bedford D, et al. Influence of atorvastatin and simvastatin on apolipoprotein B metabolism in moderate combined hyperlipidemic subjects with low VLDL and LDL fractional clearance rates. Atherosclerosis 2002;164:129-45.
    • (2002) Atherosclerosis , vol.164 , pp. 129-145
    • Forster, L.F.1    Stewart, G.2    Bedford, D.3
  • 31
    • 0032506273 scopus 로고    scopus 로고
    • Mechanism of action of fibrates on lipid and lipoprotein metabolism
    • Staels B, Dallongeville J, Auwerx J, et al. Mechanism of action of fibrates on lipid and lipoprotein metabolism. Circulation 1998;98:2088-93.
    • (1998) Circulation , vol.98 , pp. 2088-2093
    • Staels, B.1    Dallongeville, J.2    Auwerx, J.3
  • 32
    • 0025882184 scopus 로고
    • Quantification of plasma lipoproteins by proton nuclear magnetic resonance spectroscopy
    • Otvos JD, Jeyarajah EJ, Bennett DW. Quantification of plasma lipoproteins by proton nuclear magnetic resonance spectroscopy. Clin Chem 1991;37:377-86.
    • (1991) Clin Chem , vol.37 , pp. 377-386
    • Otvos, J.D.1    Jeyarajah, E.J.2    Bennett, D.W.3
  • 33
    • 0036244941 scopus 로고    scopus 로고
    • A new on-line dual enzymatic method for simultaneous quantification of cholesterol and triglycerides in lipoproteins by HPLC
    • Usui S, Hara Y, Hosaki S, et al. A new on-line dual enzymatic method for simultaneous quantification of cholesterol and triglycerides in lipoproteins by HPLC. J Lipid Res. 2002; 43:805-14.
    • (2002) J Lipid. Res , vol.43 , pp. 805-814
    • Usui, S.1    Hara, Y.2    Hosaki, S.3
  • 34
    • 0037175427 scopus 로고    scopus 로고
    • Separation and selective detection of lipoprotein particles of patients with coronary artery disease by frit-inlet asymmetrical flow field-flow fractionation
    • Park I, Paeng KJ, Yoon Y, et al. Separation and selective detection of lipoprotein particles of patients with coronary artery disease by frit-inlet asymmetrical flow field-flow fractionation. J Chromatogr B Analyt Technol Biomed Life Sci 2002; 780:415-22.
    • (2002) J Chromatogr B Analyt Technol Biomed Life Sci , vol.780 , pp. 415-422
    • Park, I.1    Paeng, K.J.2    Yoon, Y.3
  • 35
    • 0019797364 scopus 로고
    • High resolution plasma lipoprotein cholesterol profiles by a rapid, high volume semi-automated method
    • Chung BH, Segrest JP, Cone JT, et al. High resolution plasma lipoprotein cholesterol profiles by a rapid, high volume semi-automated method. J Lipid Res. 1981;22: 1003-14.
    • (1981) J Lipid Res , vol.22 , pp. 1003-1014
    • Chung, B.H.1    Segrest, J.P.2    Cone, J.T.3
  • 36
    • 61849110301 scopus 로고    scopus 로고
    • Lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women
    • Mora S, Otvos JD, Rifai N, et al. Lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women. Circulation 2009;119:931-9.
    • (2009) Circulation , vol.119 , pp. 931-939
    • Mora, S.1    Otvos, J.D.2    Rifai, N.3
  • 37
    • 0025118667 scopus 로고
    • Atherogenic lipoprotein phenotype A proposed genetic marker for coronary heart disease risk
    • Austin MA, King MC, Vranizan KM, et al. Atherogenic lipoprotein phenotype. A proposed genetic marker for coronary heart disease risk. Circulation 1990;82:495-506.
    • (1990) Circulation , vol.82 , pp. 495-506
    • Austin, M.A.1    King, M.C.2    Vranizan, K.M.3
  • 38
    • 0034002929 scopus 로고    scopus 로고
    • Apolipoprotein B metabolism and the distribution of VLDL and LDL subfractions
    • Packard CJ, Demant T, Stewart JP, et al. Apolipoprotein B metabolism and the distribution of VLDL and LDL subfractions. J Lipid. Res 2000;41:305-18.
    • (2000) J Lipid Res , vol.41 , pp. 305-318
    • Packard, C.J.1    Demant, T.2    Stewart, J.P.3
  • 39
    • 58849106769 scopus 로고    scopus 로고
    • Systems biology: parameter estimation for biochemical models
    • Ashyraliyev M, Fomekong-Nanfack Y, Kaandorp JA, et al. Systems biology: parameter estimation for biochemical models. FEBS J 2009;276:886-902.
    • (2009) FEBS J , vol.276 , pp. 886-902
    • Ashyraliyev, M.1    Fomekong-Nanfack, Y.2    Kaandorp, J.A.3
  • 42
    • 0000169232 scopus 로고
    • An algorithm for least-squares estimation of nonlinear parameters
    • Marquardt DW. An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl. Math 1963;11:431-41.
    • (1963) SIAMJ Appl Math , vol.11 , pp. 431-441
    • Marquardt, D.W.1
  • 44
    • 41949113537 scopus 로고    scopus 로고
    • The Taverna Interaction Service: enabling manual interaction in workflows
    • Lanzén A, Oinn T. The Taverna Interaction Service: enabling manual interaction in workflows. Bioinformatics 2008;24:1118-20.
    • (2008) Bioinformatics , vol.24 , pp. 1118-1120
    • Lanzén, A.1    Oinn, T.2
  • 45
    • 3042523383 scopus 로고    scopus 로고
    • Sex and age differences in lipoprotein subclasses measured by nuclear magnetic resonance spectroscopy: the Framingham study
    • Freedman DS, Otvos JD, Jeyarajah EJ, et al. Sex and age differences in lipoprotein subclasses measured by nuclear magnetic resonance spectroscopy: the Framingham study. Clin Chem 2004;50:1189-200.
    • (2004) Clin Chem , vol.50 , pp. 1189-1200
    • Freedman, D.S.1    Otvos, J.D.2    Jeyarajah, E.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.