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Volumn 7, Issue 7, 2008, Pages 2789-2796

Evaluation of the variables characterized by significant discriminating power in the application of SIMCA classification method to proteomic studies

Author keywords

2D PAGE maps; Box cox transformation; Discriminating power; Normal probability plot; Soft independent model of class analogy

Indexed keywords

CELL PROTEIN; ANTINEOPLASTIC AGENT; HYDROXAMIC ACID; PROTEIN; RAPAMYCIN; TRICHOSTATIN A; VINBLASTINE;

EID: 51649103318     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr700719a     Document Type: Article
Times cited : (13)

References (21)
  • 1
    • 0021602838 scopus 로고
    • Global Approaches to Quantitative Analysis of Gene-Expression Patterns Observed by Use of Two-dimensional Gel Electrophoresis
    • Anderson, N. L.; Hofmann, J. P.; Gemmel, A.; Taylor, J. Global Approaches to Quantitative Analysis of Gene-Expression Patterns Observed by Use of Two-dimensional Gel Electrophoresis. J. Clin. Chem. 1984, 30, 2031-2036.
    • (1984) J. Clin. Chem , vol.30 , pp. 2031-2036
    • Anderson, N.L.1    Hofmann, J.P.2    Gemmel, A.3    Taylor, J.4
  • 2
    • 84988122225 scopus 로고    scopus 로고
    • Tarroux, P.; Vincens, P.; Rabilloud, T. HERMeS: A second generation approach to the automatic analysis of two-dimensional electrophoresis gels. Part V: Data analysis. Electrophoresis 1987, 8, 187-199.
    • Tarroux, P.; Vincens, P.; Rabilloud, T. HERMeS: A second generation approach to the automatic analysis of two-dimensional electrophoresis gels. Part V: Data analysis. Electrophoresis 1987, 8, 187-199.
  • 3
    • 33645082204 scopus 로고    scopus 로고
    • Changes in cod muscle proteins during frozen storage revealed by proteome analysis and multivariate data analysis
    • Kjaersgard, I. V. H.; Norrelykke, M. R.; lessen, F. Changes in cod muscle proteins during frozen storage revealed by proteome analysis and multivariate data analysis. Proteomics 2006, 6 (5), 1606-1618.
    • (2006) Proteomics , vol.6 , Issue.5 , pp. 1606-1618
    • Kjaersgard, I.V.H.1    Norrelykke, M.R.2    lessen, F.3
  • 4
    • 29144519818 scopus 로고    scopus 로고
    • In search of secreted protein biomarkers for the anti-inflammatory effect of beta-adrenergic receptor agonists: Application of DIGE technology in combination with multivariate and univariate data analysis tools
    • Verhoeckx, K. C. M.; Gaspari, M.; Bijlsma, S. In search of secreted protein biomarkers for the anti-inflammatory effect of beta-adrenergic receptor agonists: Application of DIGE technology in combination with multivariate and univariate data analysis tools. J. Proteome Res. 2005, 4 (6), 2015-2023.
    • (2005) J. Proteome Res , vol.4 , Issue.6 , pp. 2015-2023
    • Verhoeckx, K.C.M.1    Gaspari, M.2    Bijlsma, S.3
  • 5
    • 9944247186 scopus 로고    scopus 로고
    • Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm)
    • Eriksson, L.; Antti, H.; Gottfries, J. Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm). Anal. Bioanal. Chem. 2004, 380 (3), 419-429.
    • (2004) Anal. Bioanal. Chem , vol.380 , Issue.3 , pp. 419-429
    • Eriksson, L.1    Antti, H.2    Gottfries, J.3
  • 7
    • 14644386564 scopus 로고    scopus 로고
    • Identification of the regulatory proteins in human pancreatic cancers treated with Trichostatin A by 2D-PAGE maps and multivariate statistical analysis
    • Marengo, E.; Robotti, E.; Cecconi, D.; Scarpa, A.; Righetti, P. G. Identification of the regulatory proteins in human pancreatic cancers treated with Trichostatin A by 2D-PAGE maps and multivariate statistical analysis. Anal. Bioanal. Chem 2004,379 (7-8), 992-1003.
    • (2004) Anal. Bioanal. Chem , vol.379 , Issue.7-8 , pp. 992-1003
    • Marengo, E.1    Robotti, E.2    Cecconi, D.3    Scarpa, A.4    Righetti, P.G.5
  • 8
    • 32244443103 scopus 로고    scopus 로고
    • Multivariate statistical tools applied to the characterization of the proteomic profiles of two human lymphoma cell lines by two-dimensional gel electrophoresis
    • Marengo, E.; Robotti, E.; Bobba, M.; Liparota, M. C; Antonucci, F.; Rustichelli, C.; Zamo, A.; Chilosi, M.; Hamdan, M.; Righetti, P. G. Multivariate statistical tools applied to the characterization of the proteomic profiles of two human lymphoma cell lines by two-dimensional gel electrophoresis. Electrophoresis 2006, 27, 484-494.
    • (2006) Electrophoresis , vol.27 , pp. 484-494
    • Marengo, E.1    Robotti, E.2    Bobba, M.3    Liparota, M.C.4    Antonucci, F.5    Rustichelli, C.6    Zamo, A.7    Chilosi, M.8    Hamdan, M.9    Righetti, P.G.10
  • 9
    • 2942549042 scopus 로고    scopus 로고
    • Study of proteomic changes associated with healthy and tumoral murine samples in neuroblastoma by principal component analysis and classification methods
    • Marengo, E.; Robotti, E.; Righetti, P. G.; Campostrini, N.; Pascali, J.; Ponzoni, M. Study of proteomic changes associated with healthy and tumoral murine samples in neuroblastoma by principal component analysis and classification methods. Clin. Chim. Acta 2004, 345, 55-67.
    • (2004) Clin. Chim. Acta , vol.345 , pp. 55-67
    • Marengo, E.1    Robotti, E.2    Righetti, P.G.3    Campostrini, N.4    Pascali, J.5    Ponzoni, M.6
  • 10
    • 0016973661 scopus 로고
    • Pattern recognition by means of disjoint principal components models
    • Wold, S. Pattern recognition by means of disjoint principal components models. Pattern Recogn. 1976, 8, 127-139.
    • (1976) Pattern Recogn , vol.8 , pp. 127-139
    • Wold, S.1
  • 11
    • 0021128411 scopus 로고
    • The improvement of SIMCA classification using kernel density estimation. Part I
    • Van Der Voet, H.; Doornbos, D. A. The improvement of SIMCA classification using kernel density estimation. Part I. Anal. Chim. Acta 1984, 161, 115-123.
    • (1984) Anal. Chim. Acta , vol.161 , pp. 115-123
    • Van Der Voet, H.1    Doornbos, D.A.2
  • 12
    • 0021202066 scopus 로고
    • The improvement of SIMCA classification using kernel density estimation. Part 2
    • Van Der Voet, H.; Doornbos, D. A. The improvement of SIMCA classification using kernel density estimation. Part 2. Anal. Chim. Acta 1984, 161, 125-134.
    • (1984) Anal. Chim. Acta , vol.161 , pp. 125-134
    • Van Der Voet, H.1    Doornbos, D.A.2
  • 13
    • 0003124191 scopus 로고
    • New probabilistic versions of the Simca and Classy classification methods. Part 1. Theoretical description
    • Van Der Voet, H.; Coenegracht, P. M. J.; Hemel, I. B. New probabilistic versions of the Simca and Classy classification methods. Part 1. Theoretical description. Anal. Chim. Acta 1987, 192, 63-75.
    • (1987) Anal. Chim. Acta , vol.192 , pp. 63-75
    • Van Der Voet, H.1    Coenegracht, P.M.J.2    Hemel, I.B.3
  • 14
    • 23544468118 scopus 로고
    • The evaluation of probabilistic classification methods, Part 2. Comparison of SIMCA, ALLOC, CLASSY and IDA
    • Van Der Voet, H.; Coenegracht, P. M. J. The evaluation of probabilistic classification methods, Part 2. Comparison of SIMCA, ALLOC, CLASSY and IDA. Anal. Chim. Acta 1988, 209, 1-27.
    • (1988) Anal. Chim. Acta , vol.209 , pp. 1-27
    • Van Der Voet, H.1    Coenegracht, P.M.J.2
  • 15
    • 0023693726 scopus 로고
    • DASCO: A new classification method
    • Frank, I. DASCO: a new classification method. Chemometr. Intell. Lab. 1988, 4, 215-222.
    • (1988) Chemometr. Intell. Lab , vol.4 , pp. 215-222
    • Frank, I.1
  • 16
    • 37049070083 scopus 로고
    • Principal Component outiier detection and SIMCA: A synthesis
    • Mertens, B.; Thompson, M.; Feam, T. Principal Component outiier detection and SIMCA: a synthesis. Analyst 1994, 119, 2777-2784.
    • (1994) Analyst , vol.119 , pp. 2777-2784
    • Mertens, B.1    Thompson, M.2    Feam, T.3
  • 17
    • 0000741769 scopus 로고
    • SIMCA multivariate data analysis of blue mussel components in environmental pollution studies
    • Kvalheim, O. M.; Oygard, K.; Grahl-Nielsen, O. SIMCA multivariate data analysis of blue mussel components in environmental pollution studies. Anal. Chim. Acta 1983, 150, 145-152.
    • (1983) Anal. Chim. Acta , vol.150 , pp. 145-152
    • Kvalheim, O.M.1    Oygard, K.2    Grahl-Nielsen, O.3
  • 18
    • 0024807076 scopus 로고
    • Waste water pollution modelling in the southern area of lake Saimaa, Finland, by the simca pattern recognition method
    • Saaksjarvi, E.; Khaligi, M.; Minkkinnen, P. Waste water pollution modelling in the southern area of lake Saimaa, Finland, by the simca pattern recognition method. Chemometr. Intell. Lab. 1989, 7, 171-180.
    • (1989) Chemometr. Intell. Lab , vol.7 , pp. 171-180
    • Saaksjarvi, E.1    Khaligi, M.2    Minkkinnen, P.3
  • 19
    • 13044297781 scopus 로고
    • Feature selection and validation of SIMCA models: A case study with a typical italian cheese
    • Forina, M.; Drava, G.; Contarini, G. Feature selection and validation of SIMCA models: a case study with a typical italian cheese. Analusis 1993, 21, 133-147.
    • (1993) Analusis , vol.21 , pp. 133-147
    • Forina, M.1    Drava, G.2    Contarini, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.