메뉴 건너뛰기




Volumn 50, Issue , 2013, Pages 96-106

Breaking with trends in pre-processing?

Author keywords

Chemometrics; Data analysis; Data artifact; Model validation; Pre processing; Pre processing selection; Pre treatment; Pre treatment selection; Quality parameter; Visual inspection

Indexed keywords

DATA REDUCTION; SPECTROSCOPY;

EID: 84881647375     PISSN: 01659936     EISSN: 18793142     Source Type: Journal    
DOI: 10.1016/j.trac.2013.04.015     Document Type: Review
Times cited : (407)

References (59)
  • 1
    • 9944247186 scopus 로고    scopus 로고
    • Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm)
    • Eriksson L., et al. Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm). Anal. Bioanal. Chem. 2004, 380:419-429.
    • (2004) Anal. Bioanal. Chem. , vol.380 , pp. 419-429
    • Eriksson, L.1
  • 2
    • 0036685920 scopus 로고    scopus 로고
    • New and old trends in chemometrics. How to deal with the increasing data volumes in R&D&P (research, development and production) - with examples from pharmaceutical research and process modeling
    • Wold S., Berglund A., Kettaneh N. New and old trends in chemometrics. How to deal with the increasing data volumes in R&D&P (research, development and production) - with examples from pharmaceutical research and process modeling. J. Chemom. 2002, 16:377-386.
    • (2002) J. Chemom. , vol.16 , pp. 377-386
    • Wold, S.1    Berglund, A.2    Kettaneh, N.3
  • 3
    • 33747019547 scopus 로고    scopus 로고
    • Centering, scaling, and transformations: improving the biological information content of metabolomics data
    • van den Berg R.A., et al. Centering, scaling, and transformations: improving the biological information content of metabolomics data. BMC Genomics 2006, 7.
    • (2006) BMC Genomics , vol.7
    • van den Berg, R.A.1
  • 4
    • 71249149458 scopus 로고    scopus 로고
    • Review of the most common pre-processing techniques for near-infrared spectra
    • Rinnan A., van den Berg F., Engelsen S.B. Review of the most common pre-processing techniques for near-infrared spectra. Trac-Trends Anal. Chem. 2009, 28:1201-1222.
    • (2009) Trac-Trends Anal. Chem. , vol.28 , pp. 1201-1222
    • Rinnan, A.1    van den Berg, F.2    Engelsen, S.B.3
  • 5
    • 84867230860 scopus 로고    scopus 로고
    • Comprehensive two-dimensional gas chromatography (GC x GC) retention time shift correction and modeling using bilinear peak alignment, correlation optimized shifting and multivariate curve resolution
    • Parastar H., Jalali-Heravi M., Tauler R. Comprehensive two-dimensional gas chromatography (GC x GC) retention time shift correction and modeling using bilinear peak alignment, correlation optimized shifting and multivariate curve resolution. Chemom. Intell. Lab. Syst. 2012, 117:80-91.
    • (2012) Chemom. Intell. Lab. Syst. , vol.117 , pp. 80-91
    • Parastar, H.1    Jalali-Heravi, M.2    Tauler, R.3
  • 6
  • 7
    • 84861100399 scopus 로고    scopus 로고
    • Far-infrared spectroscopy analysis of linear and cyclic peptides, and lysozyme
    • Ding T., et al. Far-infrared spectroscopy analysis of linear and cyclic peptides, and lysozyme. Vib. Spectrosc. 2012, 61:144-150.
    • (2012) Vib. Spectrosc. , vol.61 , pp. 144-150
    • Ding, T.1
  • 8
    • 34548290019 scopus 로고    scopus 로고
    • Evaluation of different warping methods for the analysis of CE profiles of urinary nucleosides
    • Szymanska E., et al. Evaluation of different warping methods for the analysis of CE profiles of urinary nucleosides. Electrophoresis 2007, 28:2861-2873.
    • (2007) Electrophoresis , vol.28 , pp. 2861-2873
    • Szymanska, E.1
  • 9
    • 18844449786 scopus 로고    scopus 로고
    • A metabolome pipeline: from concept to data to knowledge
    • Brown M., et al. A metabolome pipeline: from concept to data to knowledge. Metabolomics 2005, 1:39-51.
    • (2005) Metabolomics , vol.1 , pp. 39-51
    • Brown, M.1
  • 10
    • 0024701578 scopus 로고
    • Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra
    • Barnes R.J., Dhanoa M.S., Lister S.J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectrosc. 1989, 43:772-777.
    • (1989) Appl. Spectrosc. , vol.43 , pp. 772-777
    • Barnes, R.J.1    Dhanoa, M.S.2    Lister, S.J.3
  • 11
    • 0032517819 scopus 로고    scopus 로고
    • Orthogonal signal correction of near-infrared spectra
    • Wold S., et al. Orthogonal signal correction of near-infrared spectra. Chemom. Intell. Lab. Syst. 1998, 44:175-185.
    • (1998) Chemom. Intell. Lab. Syst. , vol.44 , pp. 175-185
    • Wold, S.1
  • 12
    • 34249321998 scopus 로고    scopus 로고
    • Automated alignment of chromatographic data
    • Skov T., et al. Automated alignment of chromatographic data. J. Chemom. 2006, 20:484-497.
    • (2006) J. Chemom. , vol.20 , pp. 484-497
    • Skov, T.1
  • 13
    • 84862560654 scopus 로고    scopus 로고
    • Variable reference alignment: an improved peak alignment protocol for NMR spectral data with large intersample variation
    • MacKinnon N., et al. Variable reference alignment: an improved peak alignment protocol for NMR spectral data with large intersample variation. Anal. Chem. 2012, 84:5372-5379.
    • (2012) Anal. Chem. , vol.84 , pp. 5372-5379
    • MacKinnon, N.1
  • 14
    • 33846387184 scopus 로고    scopus 로고
    • Theory and application of near infrared reflectance spectroscopy in determination of food quality
    • Cen H.Y., He Y. Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci. Technol. 2007, 18:72-83.
    • (2007) Trends Food Sci. Technol. , vol.18 , pp. 72-83
    • Cen, H.Y.1    He, Y.2
  • 15
    • 18144423187 scopus 로고    scopus 로고
    • Robustness of models developed by multivariate calibration. Part II: the influence of pre-processing methods
    • Zeaiter M., Roger J.M., Bellon-Maurel V. Robustness of models developed by multivariate calibration. Part II: the influence of pre-processing methods. Trac-Trends Anal. Chem. 2005, 24:437-445.
    • (2005) Trac-Trends Anal. Chem. , vol.24 , pp. 437-445
    • Zeaiter, M.1    Roger, J.M.2    Bellon-Maurel, V.3
  • 16
    • 34347369748 scopus 로고    scopus 로고
    • Start-to-end processing of two-dimensional gel electrophoretic images
    • Daszykowski M., et al. Start-to-end processing of two-dimensional gel electrophoretic images. J. Chromatogr. A 2007, 1158:306-317.
    • (2007) J. Chromatogr. A , vol.1158 , pp. 306-317
    • Daszykowski, M.1
  • 17
    • 84867336104 scopus 로고    scopus 로고
    • NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review
    • Smolinska A., et al. NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review. Anal. Chim. Acta 2012, 750:82-97.
    • (2012) Anal. Chim. Acta , vol.750 , pp. 82-97
    • Smolinska, A.1
  • 18
    • 79960144635 scopus 로고    scopus 로고
    • Algorithms and tools for the preprocessing of LC-MS metabolomics data
    • Castillo S., et al. Algorithms and tools for the preprocessing of LC-MS metabolomics data. Chemom. Intell. Lab. Syst. 2011, 108:23-32.
    • (2011) Chemom. Intell. Lab. Syst. , vol.108 , pp. 23-32
    • Castillo, S.1
  • 19
    • 0033694808 scopus 로고    scopus 로고
    • Introduction to multivariate calibration in analytical chemistry
    • Brereton R.G. Introduction to multivariate calibration in analytical chemistry. Analyst 2000, 125:2125-2154.
    • (2000) Analyst , vol.125 , pp. 2125-2154
    • Brereton, R.G.1
  • 20
    • 0042553279 scopus 로고
    • Smoothing + differentiation of data by simplified least squares procedures
    • Savitzky A., Golay M.J.E. Smoothing + differentiation of data by simplified least squares procedures. Anal. Chem. 1964, 36:1627.
    • (1964) Anal. Chem. , vol.36 , pp. 1627
    • Savitzky, A.1    Golay, M.J.E.2
  • 21
    • 1542712026 scopus 로고    scopus 로고
    • Application of wavelet transforms to experimental spectra: smoothing, denoising, and data set compression
    • Barclay V.J., Bonner R.F., Hamilton I.P. Application of wavelet transforms to experimental spectra: smoothing, denoising, and data set compression. Anal. Chem. 1997, 69:78-90.
    • (1997) Anal. Chem. , vol.69 , pp. 78-90
    • Barclay, V.J.1    Bonner, R.F.2    Hamilton, I.P.3
  • 22
    • 0347758340 scopus 로고    scopus 로고
    • Parametric time warping
    • Eilers P.H.C. Parametric time warping. Anal. Chem. 2004, 76:404-411.
    • (2004) Anal. Chem. , vol.76 , pp. 404-411
    • Eilers, P.H.C.1
  • 23
    • 0033004851 scopus 로고    scopus 로고
    • The robust normal variate transform for pattern recognition with near-infrared data
    • Guo Q., Wu W., Massart D.L. The robust normal variate transform for pattern recognition with near-infrared data. Anal. Chim. Acta 1999, 382:87-103.
    • (1999) Anal. Chim. Acta , vol.382 , pp. 87-103
    • Guo, Q.1    Wu, W.2    Massart, D.L.3
  • 24
    • 0022059848 scopus 로고
    • Linearization and scatter-correction for near-infrared reflectance spectra of meat
    • Geladi P., Macdougall D., Martens H. Linearization and scatter-correction for near-infrared reflectance spectra of meat. Appl. Spectrosc. 1985, 39:491-500.
    • (1985) Appl. Spectrosc. , vol.39 , pp. 491-500
    • Geladi, P.1    Macdougall, D.2    Martens, H.3
  • 25
    • 61349157916 scopus 로고    scopus 로고
    • On the geometry of SNV and MSC
    • Fearn T., et al. On the geometry of SNV and MSC. Chemom. Intell. Lab. Syst. 2009, 96:22-26.
    • (2009) Chemom. Intell. Lab. Syst. , vol.96 , pp. 22-26
    • Fearn, T.1
  • 26
    • 77955554214 scopus 로고    scopus 로고
    • Warping and alignment technologies for inter-sample feature correspondence in 1D H-NMR, chromatography-, and capillary electrophoresis-mass spectrometry data
    • Torgrip R.O., Alm E., Åberg K.M. Warping and alignment technologies for inter-sample feature correspondence in 1D H-NMR, chromatography-, and capillary electrophoresis-mass spectrometry data. Bioanal. Rev. 2010, 1:105-116.
    • (2010) Bioanal. Rev. , vol.1 , pp. 105-116
    • Torgrip, R.O.1    Alm, E.2    Åberg, K.M.3
  • 27
    • 84877924842 scopus 로고    scopus 로고
    • Warping methods for spectroscopic and chromatographic signal alignment: A tutorial
    • Bloemberg T.G., et al. Warping methods for spectroscopic and chromatographic signal alignment: A tutorial. Anal. Chim. Acta 2013, 781:14-32.
    • (2013) Anal. Chim. Acta , vol.781 , pp. 14-32
    • Bloemberg, T.G.1
  • 28
    • 72449164088 scopus 로고    scopus 로고
    • Icoshift: a versatile tool for the rapid alignment of 1D NMR spectra
    • Savorani F., Tomasi G., Engelsen S.B. Icoshift: a versatile tool for the rapid alignment of 1D NMR spectra. J. Magn. Reson. 2010, 202:190-202.
    • (2010) J. Magn. Reson. , vol.202 , pp. 190-202
    • Savorani, F.1    Tomasi, G.2    Engelsen, S.B.3
  • 29
    • 80053573519 scopus 로고    scopus 로고
    • Icoshift: an effective tool for the alignment of chromatographic data
    • Tomasi G., Savorani F., Engelsen S.B. Icoshift: an effective tool for the alignment of chromatographic data. J. Chromatogr. A 2011, 1218:7832-7840.
    • (2011) J. Chromatogr. A , vol.1218 , pp. 7832-7840
    • Tomasi, G.1    Savorani, F.2    Engelsen, S.B.3
  • 30
    • 43949089850 scopus 로고    scopus 로고
    • NMR-based characterization of metabolic alterations in hypertension using an adaptive, intelligent binning algorithm
    • De Meyer T., et al. NMR-based characterization of metabolic alterations in hypertension using an adaptive, intelligent binning algorithm. Anal. Chem. 2008, 80:3783-3790.
    • (2008) Anal. Chem. , vol.80 , pp. 3783-3790
    • De Meyer, T.1
  • 31
    • 77955696081 scopus 로고    scopus 로고
    • ChroMATHography: solving chromatographic issues with mathematical models and intuitive graphics
    • Amigo J.M., Skov T., Bro R. ChroMATHography: solving chromatographic issues with mathematical models and intuitive graphics. Chem. Rev. (Washington, DC, US) 2010, 110:4582-4605.
    • (2010) Chem. Rev. (Washington, DC, US) , vol.110 , pp. 4582-4605
    • Amigo, J.M.1    Skov, T.2    Bro, R.3
  • 32
    • 43349089693 scopus 로고    scopus 로고
    • A note on normalization of biofluid 1D H-1-NMR data
    • Torgrip R.J.O., et al. A note on normalization of biofluid 1D H-1-NMR data. Metabolomics 2008, 4:114-121.
    • (2008) Metabolomics , vol.4 , pp. 114-121
    • Torgrip, R.J.O.1
  • 33
    • 0032428916 scopus 로고    scopus 로고
    • Closure of analytical chemical data and multivariate classification
    • Aruga R. Closure of analytical chemical data and multivariate classification. Talanta 1998, 47:1053-1061.
    • (1998) Talanta , vol.47 , pp. 1053-1061
    • Aruga, R.1
  • 34
    • 71049194213 scopus 로고    scopus 로고
    • Development and evaluation of normalization methods for label-free relative quantification of endogenous peptides
    • Kultima K., et al. Development and evaluation of normalization methods for label-free relative quantification of endogenous peptides. Mol. Cell. Proteomics 2009, 8:2285-2295.
    • (2009) Mol. Cell. Proteomics , vol.8 , pp. 2285-2295
    • Kultima, K.1
  • 36
    • 0037282748 scopus 로고    scopus 로고
    • Centering and scaling in component analysis
    • Bro R., Smilde A.K. Centering and scaling in component analysis. J. Chemom. 2003, 17:16-33.
    • (2003) J. Chemom. , vol.17 , pp. 16-33
    • Bro, R.1    Smilde, A.K.2
  • 37
    • 51949110240 scopus 로고    scopus 로고
    • Optimized time alignment algorithm for LC-MS data: correlation optimized warping using component detection algorithm-selected mass chromatograms
    • Christin C., et al. Optimized time alignment algorithm for LC-MS data: correlation optimized warping using component detection algorithm-selected mass chromatograms. Anal. Chem. 2008, 80:7012-7021.
    • (2008) Anal. Chem. , vol.80 , pp. 7012-7021
    • Christin, C.1
  • 38
    • 78650170327 scopus 로고    scopus 로고
    • Improved parametric time warping for proteomics
    • Bloemberg T.G., et al. Improved parametric time warping for proteomics. Chemom. Intell. Lab. Syst. 2010, 104:65-74.
    • (2010) Chemom. Intell. Lab. Syst. , vol.104 , pp. 65-74
    • Bloemberg, T.G.1
  • 39
    • 80053612060 scopus 로고    scopus 로고
    • Data-processing strategies for metabolomics studies
    • Hendriks M.M.W.B., et al. Data-processing strategies for metabolomics studies. Trac-Trends Anal. Chem. 2011, 30:1685-1698.
    • (2011) Trac-Trends Anal. Chem. , vol.30 , pp. 1685-1698
    • Hendriks, M.M.W.B.1
  • 40
    • 1342282223 scopus 로고    scopus 로고
    • Data pre-processing and intelligent data analysis
    • Famili F., et al. Data pre-processing and intelligent data analysis. Int. J. Int. Data Anal. 1997, 1.
    • (1997) Int. J. Int. Data Anal. , vol.1
    • Famili, F.1
  • 41
    • 84866117056 scopus 로고    scopus 로고
    • Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis
    • Engel J., et al. Confirmation of brand identity of a Trappist beer by mid-infrared spectroscopy coupled with multivariate data analysis. Talanta 2012, 99:426-432.
    • (2012) Talanta , vol.99 , pp. 426-432
    • Engel, J.1
  • 42
    • 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
  • 43
    • 0028210405 scopus 로고
    • The influence of data preprocessing on the robustness and parsimony of multivariate calibration models
    • Denoord O.E. The influence of data preprocessing on the robustness and parsimony of multivariate calibration models. Chemom. Intell. Lab. Syst. 1994, 23:65-70.
    • (1994) Chemom. Intell. Lab. Syst. , vol.23 , pp. 65-70
    • Denoord, O.E.1
  • 44
    • 70350449457 scopus 로고    scopus 로고
    • When less can yield more - Computational preprocessing of MS/MS spectra for peptide identification
    • Renard B.Y., et al. When less can yield more - Computational preprocessing of MS/MS spectra for peptide identification. Proteomics 2009, 9:4978-4984.
    • (2009) Proteomics , vol.9 , pp. 4978-4984
    • Renard, B.Y.1
  • 45
    • 0037460631 scopus 로고    scopus 로고
    • Feasibility study for the use of near infrared spectroscopy in the qualitative and quantitative analysis of green tea, Camellia sinensis (L.)
    • Luypaert J., Zhang M.H., Massart D.L. Feasibility study for the use of near infrared spectroscopy in the qualitative and quantitative analysis of green tea, Camellia sinensis (L.). Anal. Chim. Acta 2003, 478:303-312.
    • (2003) Anal. Chim. Acta , vol.478 , pp. 303-312
    • Luypaert, J.1    Zhang, M.H.2    Massart, D.L.3
  • 46
    • 0037201759 scopus 로고    scopus 로고
    • An evaluation of direct orthogonal signal correction and other preprocessing methods for the classification of clinical study lots of a dermatological cream
    • Luypaert J., et al. An evaluation of direct orthogonal signal correction and other preprocessing methods for the classification of clinical study lots of a dermatological cream. J. Pharm. Biomed. Anal. 2002, 30:453-466.
    • (2002) J. Pharm. Biomed. Anal. , vol.30 , pp. 453-466
    • Luypaert, J.1
  • 47
    • 0032848132 scopus 로고    scopus 로고
    • The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra
    • Candolfi A., et al. The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra. J. Pharm. Biomed. Anal. 1999, 21:115-132.
    • (1999) J. Pharm. Biomed. Anal. , vol.21 , pp. 115-132
    • Candolfi, A.1
  • 48
    • 16444371874 scopus 로고    scopus 로고
    • Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data
    • Jarvis R.M., Goodacre R. Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data. Bioinformatics 2005, 21:860-868.
    • (2005) Bioinformatics , vol.21 , pp. 860-868
    • Jarvis, R.M.1    Goodacre, R.2
  • 49
    • 80052542236 scopus 로고    scopus 로고
    • How to pre-process Raman spectra for reliable and stable models?
    • Bocklitz T., et al. How to pre-process Raman spectra for reliable and stable models?. Anal. Chim. Acta 2011, 704:47-56.
    • (2011) Anal. Chim. Acta , vol.704 , pp. 47-56
    • Bocklitz, T.1
  • 50
    • 80053385888 scopus 로고    scopus 로고
    • Characterisation of heavy oils using near-infrared spectroscopy: optimisation of pre-processing methods and variable selection
    • Laxalde J., et al. Characterisation of heavy oils using near-infrared spectroscopy: optimisation of pre-processing methods and variable selection. Anal. Chim. Acta 2011, 705:227-234.
    • (2011) Anal. Chim. Acta , vol.705 , pp. 227-234
    • Laxalde, J.1
  • 51
    • 78649334547 scopus 로고    scopus 로고
    • Alignment of high resolution magic angle spinning magnetic resonance spectra using warping methods
    • Giskeodegard G.F., et al. Alignment of high resolution magic angle spinning magnetic resonance spectra using warping methods. Anal. Chim. Acta 2010, 683:1-11.
    • (2010) Anal. Chim. Acta , vol.683 , pp. 1-11
    • Giskeodegard, G.F.1
  • 52
    • 7444264548 scopus 로고    scopus 로고
    • The effect of preprocessing methods in reducing interfering variability from near-infrared measurements of creams
    • Luypaert J., et al. The effect of preprocessing methods in reducing interfering variability from near-infrared measurements of creams. J. Pharm. Biomed. Anal. 2004, 36:495-503.
    • (2004) J. Pharm. Biomed. Anal. , vol.36 , pp. 495-503
    • Luypaert, J.1
  • 53
    • 0842346342 scopus 로고    scopus 로고
    • Data preprocessing by wavelets and genetic algorithms for enhanced multivariate analysis of LC peptide mapping
    • Andersson F.O., Kaiser R., Jacobsson S.P. Data preprocessing by wavelets and genetic algorithms for enhanced multivariate analysis of LC peptide mapping. J. Pharm. Biomed. Anal. 2004, 34:531-541.
    • (2004) J. Pharm. Biomed. Anal. , vol.34 , pp. 531-541
    • Andersson, F.O.1    Kaiser, R.2    Jacobsson, S.P.3
  • 54
    • 0027973432 scopus 로고
    • Effect of different preprocessing methods for principal component analysis applied to the composition of mixtures - detection of impurities in Hplc-Dad
    • Sanchez F.C., Lewi P.J., Massart D.L. Effect of different preprocessing methods for principal component analysis applied to the composition of mixtures - detection of impurities in Hplc-Dad. Chemom. Intell. Lab. Syst. 1994, 25:157-177.
    • (1994) Chemom. Intell. Lab. Syst. , vol.25 , pp. 157-177
    • Sanchez, F.C.1    Lewi, P.J.2    Massart, D.L.3
  • 55
    • 20444454132 scopus 로고    scopus 로고
    • Preprocessing and exploratory analysis of chromatographic profiles of plant extracts
    • Hendriks M.M.W.B., et al. Preprocessing and exploratory analysis of chromatographic profiles of plant extracts. Anal. Chim. Acta 2005, 545:53-64.
    • (2005) Anal. Chim. Acta , vol.545 , pp. 53-64
    • Hendriks, M.M.W.B.1
  • 56
    • 33750715170 scopus 로고    scopus 로고
    • OPLS methodology for analysis of pre-processing effects on spectroscopic data
    • Gabrielsson J., et al. OPLS methodology for analysis of pre-processing effects on spectroscopic data. Chemom. Intell. Lab. Syst. 2006, 84:153-158.
    • (2006) Chemom. Intell. Lab. Syst. , vol.84 , pp. 153-158
    • Gabrielsson, J.1
  • 57
    • 33646231228 scopus 로고    scopus 로고
    • Peak alignment of urine NMR spectra using fuzzy warping
    • Wu W., et al. Peak alignment of urine NMR spectra using fuzzy warping. J. Chem. Inf. Model. 2006, 46:863-875.
    • (2006) J. Chem. Inf. Model. , vol.46 , pp. 863-875
    • Wu, W.1
  • 58
    • 84867233524 scopus 로고    scopus 로고
    • Suppressing sample morphology effects in near infrared spectral imaging using chemometric data pre-treatments
    • Esquerre C., et al. Suppressing sample morphology effects in near infrared spectral imaging using chemometric data pre-treatments. Chemom. Intell. Lab. Syst. 2012, 117:129-137.
    • (2012) Chemom. Intell. Lab. Syst. , vol.117 , pp. 129-137
    • Esquerre, C.1
  • 59
    • 77958584769 scopus 로고    scopus 로고
    • A novel definition of the multivariate coefficient of variation
    • Albert A., Zhang L.X. A novel definition of the multivariate coefficient of variation. Biom. J. 2010, 52:667-675.
    • (2010) Biom. J. , vol.52 , pp. 667-675
    • Albert, A.1    Zhang, L.X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.