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Volumn 26, Issue 6, 2012, Pages 264-281

Exploratory data analysis with noisy measurements

Author keywords

Cluster analysis; DNA microarray; Exploratory data analysis; Heteroscedastic errors; Maximum likelihood principal components analysis; Partial transparency projection

Indexed keywords

CLUSTER ANALYSIS; DATA STRUCTURES; DATA VISUALIZATION; GENE EXPRESSION; INFORMATION ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; MULTIVARIANT ANALYSIS; TRANSPARENCY; UNCERTAINTY ANALYSIS; VISUALIZATION;

EID: 84862772725     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2428     Document Type: Article
Times cited : (22)

References (41)
  • 1
    • 0003854151 scopus 로고
    • Addison-Wesley Publishing Company, Inc.: Reading, MA
    • Tukey JW. Exploratory Data Analysis. Addison-Wesley Publishing Company, Inc.: Reading, MA, 1977.
    • (1977) Exploratory Data Analysis
    • Tukey, J.W.1
  • 2
    • 0001474381 scopus 로고
    • The statistical utilization of multiple measurements
    • Fisher RA. The statistical utilization of multiple measurements. A. Eug. 1938; 8: 376-386.
    • (1938) A. Eug. , vol.8 , pp. 376-386
    • Fisher, R.A.1
  • 3
    • 0000952525 scopus 로고
    • Classification: oldtimers and newcomers
    • Frank IE, Friedman JH. Classification: oldtimers and newcomers. J. Chemom. 1989; 3: 463-475.
    • (1989) J. Chemom. , vol.3 , pp. 463-475
    • Frank, I.E.1    Friedman, J.H.2
  • 4
    • 0037350844 scopus 로고    scopus 로고
    • Partial least squares for discrimination
    • Barker M, Rayens W. Partial least squares for discrimination. J. Chemom. 2003; 17: 166-173.
    • (2003) J. Chemom. , vol.17 , pp. 166-173
    • Barker, M.1    Rayens, W.2
  • 5
    • 33745819990 scopus 로고    scopus 로고
    • Overview and recent advances in partial least squares
    • Rosipal R, Kramer N. Overview and recent advances in partial least squares. Lect. Notes Comput. Sci. 2006; 3940: 34-51.
    • (2006) Lect. Notes Comput. Sci. , vol.3940 , pp. 34-51
    • Rosipal, R.1    Kramer, N.2
  • 7
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges CJC. A tutorial on support vector machines for pattern recognition. Data. Min. Knowl. Disc. 1998; 2: 121-167.
    • (1998) Data. Min. Knowl. Disc. , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 9
    • 0003578015 scopus 로고
    • 3rd edn). Edward Arnold: London, UK
    • Everitt BS. Cluster Analysis (3rd edn). Edward Arnold: London, UK, 1993.
    • (1993) Cluster Analysis
    • Everitt, B.S.1
  • 11
    • 0016102310 scopus 로고
    • A projection pursuit algorithm for exploratory data analysis
    • Friedman JH, Tukey JW. A projection pursuit algorithm for exploratory data analysis. IEEE T. Comput. 1974; 23: 881-890.
    • (1974) IEEE T. Comput. , vol.23 , pp. 881-890
    • Friedman, J.H.1    Tukey, J.W.2
  • 12
    • 0000263797 scopus 로고
    • Projection pursuit
    • Huber PJ. Projection pursuit. Ann. Stat. 1985; 13: 435-475.
    • (1985) Ann. Stat. , vol.13 , pp. 435-475
    • Huber, P.J.1
  • 16
    • 0027466983 scopus 로고
    • Analysis of different modes of factor analysis as least squares fit problems
    • Paatero P, Tapper U. Analysis of different modes of factor analysis as least squares fit problems. Chemometr. Intell. Lab. 1993; 18: 183-194.
    • (1993) Chemometr. Intell. Lab. , vol.18 , pp. 183-194
    • Paatero, P.1    Tapper, U.2
  • 17
    • 85153992612 scopus 로고    scopus 로고
    • Chapter 2.25: Other topics in soft-modeling: maximum likelihood-based soft-modeling methods
    • Brown SD, Tauler R, Walczak B. (eds): Elsevier Ltd.: Amsterdam
    • Wentzell PD. Chapter 2.25: Other topics in soft-modeling: maximum likelihood-based soft-modeling methods. In Brown SD, Tauler R, Walczak B. (eds): Comprehensive Chemometrics: Chemical and Biochemical Data Analysis. Elsevier Ltd.: Amsterdam, 2009.
    • (2009) Comprehensive Chemometrics: Chemical and Biochemical Data Analysis
    • Wentzell, P.D.1
  • 20
    • 36649002868 scopus 로고    scopus 로고
    • Bootstrap method for the estimation of measurement uncertainty in spotted dual-color dna microarrays
    • Karakach TK, Flight RM, Wentzell PD. Bootstrap method for the estimation of measurement uncertainty in spotted dual-color dna microarrays. Anal. Bioanal. Chem. 2007; 389: 2125-2141.
    • (2007) Anal. Bioanal. Chem. , vol.389 , pp. 2125-2141
    • Karakach, T.K.1    Flight, R.M.2    Wentzell, P.D.3
  • 21
    • 34347344984 scopus 로고    scopus 로고
    • Methods for estimating and mitigating errors in spotted, dual-color DNA microarrays
    • Karakach TK, Wentzell PD. Methods for estimating and mitigating errors in spotted, dual-color DNA microarrays. OMICS J. Integr. Biol. 2007; 11: 186-199.
    • (2007) OMICS J. Integr. Biol. , vol.11 , pp. 186-199
    • Karakach, T.K.1    Wentzell, P.D.2
  • 22
    • 19344371996 scopus 로고    scopus 로고
    • Methods for systematic investigation of measurement error covariance matrices
    • Leger MN, Vega-Montoto L, Wentzell PD. Methods for systematic investigation of measurement error covariance matrices. Chemometr. Intell. Lab. 2005; 77: 181-205.
    • (2005) Chemometr. Intell. Lab. , vol.77 , pp. 181-205
    • Leger, M.N.1    Vega-Montoto, L.2    Wentzell, P.D.3
  • 24
    • 0033580062 scopus 로고    scopus 로고
    • Maximum likelihood principal component analysis with correlated measurement errors: theoretical and practical considerations
    • Wentzell PD, Lohnes MT. Maximum likelihood principal component analysis with correlated measurement errors: theoretical and practical considerations. Chemometr. Intell. Lab. 1999; 45: 65-85.
    • (1999) Chemometr. Intell. Lab. , vol.45 , pp. 65-85
    • Wentzell, P.D.1    Lohnes, M.T.2
  • 27
    • 0028561099 scopus 로고
    • Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values
    • Paatero P, Tapper U. Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values. Environmetrics. 1994; 5: 111-126.
    • (1994) Environmetrics. , vol.5 , pp. 111-126
    • Paatero, P.1    Tapper, U.2
  • 28
    • 0030954231 scopus 로고    scopus 로고
    • Least squares formulation of robust non-negative factor analysis
    • Paatero P. Least squares formulation of robust non-negative factor analysis. Chemometr. Intell. Lab. 1997; 38: 23-35.
    • (1997) Chemometr. Intell. Lab. , vol.38 , pp. 23-35
    • Paatero, P.1
  • 30
    • 0038556902 scopus 로고    scopus 로고
    • Maximum likelihood parallel factor analysis
    • Vega-Montoto L, Wentzell PD. Maximum likelihood parallel factor analysis. J. Chemom. 2003; 17: 237-253.
    • (2003) J. Chemom. , vol.17 , pp. 237-253
    • Vega-Montoto, L.1    Wentzell, P.D.2
  • 31
    • 31344482172 scopus 로고    scopus 로고
    • Mathematical improvements to maximum likelihood parallel factor analysis: theory and simulations
    • Vega-Montoto L, Gu H, Wentzell PD. Mathematical improvements to maximum likelihood parallel factor analysis: theory and simulations. J. Chemom. 2005; 19: 216-235.
    • (2005) J. Chemom. , vol.19 , pp. 216-235
    • Vega-Montoto, L.1    Gu, H.2    Wentzell, P.D.3
  • 32
    • 37049080642 scopus 로고
    • Calculating standard deviations and confidence intervals with a universally applicable spreadsheet technique
    • Kragten J. Calculating standard deviations and confidence intervals with a universally applicable spreadsheet technique. Analyst 1994; 119: 2161-2165.
    • (1994) Analyst , vol.119 , pp. 2161-2165
    • Kragten, J.1
  • 33
    • 0037185465 scopus 로고    scopus 로고
    • Fast method for robust principal components with applications to chemometrics
    • Hubert M, Rousseeuw PJ, Verboven SA. Fast method for robust principal components with applications to chemometrics. Chemometr. Intell. Lab. 2002; 60: 101-111.
    • (2002) Chemometr. Intell. Lab. , vol.60 , pp. 101-111
    • Hubert, M.1    Rousseeuw, P.J.2    Verboven, S.A.3
  • 34
    • 4444223563 scopus 로고    scopus 로고
    • Robust PCA and classification in bioscience
    • Hubert M, Engelen S. Robust PCA and classification in bioscience. Bioinformatics 2004; 20: 1728-1736.
    • (2004) Bioinformatics , vol.20 , pp. 1728-1736
    • Hubert, M.1    Engelen, S.2
  • 35
    • 80052517943 scopus 로고    scopus 로고
    • Fast and simple methods for the optimization of kurtosis used as a projection pursuit index
    • Hou S, Wentzell PD. Fast and simple methods for the optimization of kurtosis used as a projection pursuit index. Anal. Chima. Acta. 2011; 704: 1-15.
    • (2011) Anal. Chima. Acta. , vol.704 , pp. 1-15
    • Hou, S.1    Wentzell, P.D.2
  • 36
    • 0031246430 scopus 로고    scopus 로고
    • Ratio-base decisions and the quantitative analysis of cDNA microarray images
    • Chen Y, Dougherty ER, Bittner ML. Ratio-base decisions and the quantitative analysis of cDNA microarray images. J. Biomed. Opt. 1997; 2: 364-374.
    • (1997) J. Biomed. Opt. , vol.2 , pp. 364-374
    • Chen, Y.1    Dougherty, E.R.2    Bittner, M.L.3
  • 37
    • 0035684378 scopus 로고    scopus 로고
    • A model for measurement error for gene expression arrays
    • Rocke DM, Durbin B. A model for measurement error for gene expression arrays. J. Comput. Biol. 2001; 8: 557-569.
    • (2001) J. Comput. Biol. , vol.8 , pp. 557-569
    • Rocke, D.M.1    Durbin, B.2
  • 40
    • 0009203997 scopus 로고    scopus 로고
    • Angles between Euclidean subspace
    • Jiang S. Angles between Euclidean subspace. Geometriae Dedicata 1996; 63: 113-121.
    • (1996) Geometriae Dedicata , vol.63 , pp. 113-121
    • Jiang, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.