메뉴 건너뛰기




Volumn 22, Issue 1, 2008, Pages 54-62

ST-PLS: A multi-directional nearest shrunken centroid type classi er via PLS

Author keywords

Classi cation; Gene expression; Soft thresholding; Variable selection

Indexed keywords

LEAST SQUARES APPROXIMATIONS; POSITIVE IONS;

EID: 53649086225     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1101     Document Type: Article
Times cited : (25)

References (30)
  • 1
    • 0001098205 scopus 로고
    • Estimation of principal components and related models by iterative least squares
    • Krishnaiah PR ed, Academic Press: New York
    • Wold H. Estimation of principal components and related models by iterative least squares. In Multivariate Analysis, Krishnaiah PR (ed.). Academic Press: New York, 1966,391-420.
    • (1966) Multivariate Analysis , pp. 391-420
    • Wold, H.1
  • 3
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classi cation of tumors using gene expression data
    • Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classi cation of tumors using gene expression data. J. Am. Stat. Assoc. 2002; 97:77-87.
    • (2002) J. Am. Stat. Assoc , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 4
    • 0037076272 scopus 로고    scopus 로고
    • Diagnosis of multiple cancer types by shrunken centroids of gene expression
    • Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. P. Natl. Acad. Sci. 2002; 99:6567-6572.
    • (2002) P. Natl. Acad. Sci , vol.99 , pp. 6567-6572
    • Tibshirani, R.1    Hastie, T.2    Narasimhan, B.3    Chu, G.4
  • 5
    • 2342533421 scopus 로고    scopus 로고
    • Class prediction by nearest shrunken centroids, with application to DNA microarrays
    • Tibshirani R, Hastie T, Narasimhan B, Chu G. Class prediction by nearest shrunken centroids, with application to DNA microarrays. Stat. Sci. 2003;18:104-117.
    • (2003) Stat. Sci , vol.18 , pp. 104-117
    • Tibshirani, R.1    Hastie, T.2    Narasimhan, B.3    Chu, G.4
  • 6
    • 0036166439 scopus 로고    scopus 로고
    • Tumor Classi cation by partial least squares using microarray gene expression data
    • Nguyen DV, Rocke DM. Tumor Classi cation by partial least squares using microarray gene expression data. Bioinformatics 2002; 18: 39-50.
    • (2002) Bioinformatics , vol.18 , pp. 39-50
    • Nguyen, D.V.1    Rocke, D.M.2
  • 7
    • 16344365619 scopus 로고    scopus 로고
    • Classi cation using partial least squares with penalized logistic regression
    • Fort G, Lambert-Lacroix S. Classi cation using partial least squares with penalized logistic regression. Bioinformatics 2005; 21: 1104-1111.
    • (2005) Bioinformatics , vol.21 , pp. 1104-1111
    • Fort, G.1    Lambert-Lacroix, S.2
  • 8
    • 0037350844 scopus 로고    scopus 로고
    • Partial least squares for discrimination
    • Barker M, Rayens WS. Partial least squares for discrimination. J. Chemometrics 2003; 17:166-173.
    • (2003) J. Chemometrics , vol.17 , pp. 166-173
    • Barker, M.1    Rayens, W.S.2
  • 9
    • 1942471190 scopus 로고
    • Intermediate least squares regression method
    • Frank IE. Intermediate least squares regression method. Chemometrics Intell. Lab. Syst. 1987; 1: 233-242.
    • (1987) Chemometrics Intell. Lab. Syst , vol.1 , pp. 233-242
    • Frank, I.E.1
  • 10
    • 85153543740 scopus 로고    scopus 로고
    • Martens H, N s T. Multivariate Calibration. Wiley: Chichester, UK, 1989.
    • Martens H, N s T. Multivariate Calibration. Wiley: Chichester, UK, 1989.
  • 12
    • 84984336225 scopus 로고
    • Interactive variable selection (IVS) for PLS. Part 1: Theory and algorithms
    • Lindgren F, Geladi P, Rannar S, Wold S. Interactive variable selection (IVS) for PLS. Part 1: theory and algorithms. J. Chemometrics 1994; 8: 349-363.
    • (1994) J. Chemometrics , vol.8 , pp. 349-363
    • Lindgren, F.1    Geladi, P.2    Rannar, S.3    Wold, S.4
  • 14
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • Hoerl AE, Kennard RW. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 1970; 12:55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 15
    • 0012709063 scopus 로고    scopus 로고
    • Oriented partial least squares. Invited Rivista di Statistica Applicata - lt
    • Rayens WS, Andersen A. Oriented partial least squares. Invited Rivista di Statistica Applicata - lt.J.Appl.Stat. 2003; 15:367-388.
    • (2003) J.Appl.Stat , vol.15 , pp. 367-388
    • Rayens, W.S.1    Andersen, A.2
  • 16
    • 34347262093 scopus 로고    scopus 로고
    • PLS and dimension reduction for classi cation
    • Liu Y, Rayens WS. PLS and dimension reduction for classi cation. Comp. Stat. 2007; 22:189-208.
    • (2007) Comp. Stat , vol.22 , pp. 189-208
    • Liu, Y.1    Rayens, W.S.2
  • 17
    • 20444448822 scopus 로고    scopus 로고
    • Dimension reduction for classi cation with microarray data
    • article
    • Boulesteix A-L PLS Dimension reduction for classi cation with microarray data. Stat. Appl. Genet. Mo. B. 2004; 3: article 33.
    • (2004) Stat. Appl. Genet. Mo. B , vol.3 , pp. 33
    • Boulesteix, A.-L.P.1
  • 18
    • 0242559063 scopus 로고    scopus 로고
    • Linear regression and two-class classi cation with gene expression data
    • Huang X, Pan W. Linear regression and two-class classi cation with gene expression data. Bioinformatics 2003; 19 :2072-2078.
    • (2003) Bioinformatics , vol.19 , pp. 2072-2078
    • Huang, X.1    Pan, W.2
  • 20
    • 85153551979 scopus 로고    scopus 로고
    • N s T, Helland IS. Relevant components in regression. Scand. J. Stat. 1993; 20 :239-250.
    • N s T, Helland IS. Relevant components in regression. Scand. J. Stat. 1993; 20 :239-250.
  • 21
    • 21344480167 scopus 로고
    • Alm y T. Comparison of prediction methods when only a few components are relevant
    • Helland IS, Alm y T. Comparison of prediction methods when only a few components are relevant. J. Am. Stat. Assoc 1994; 89:583-591.
    • (1994) J. Am. Stat. Assoc , vol.89 , pp. 583-591
    • Helland, I.S.1
  • 22
    • 0344441000 scopus 로고    scopus 로고
    • Diagnostic and prognostic prediction using gene expression pro les in high-dimensional microarray data
    • Simon R. Diagnostic and prognostic prediction using gene expression pro les in high-dimensional microarray data. Brit. J. Cancer 2003; 89: 1599-1604.
    • (2003) Brit. J. Cancer , vol.89 , pp. 1599-1604
    • Simon, R.1
  • 23
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • Alon U, Barkai N, Notterman DA, Gish K, Ybarra S, Mack D, Levine AJ. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. P. Natl. Acad. Sci. 1999; 96 :6745-6750.
    • (1999) P. Natl. Acad. Sci , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 26
    • 0024069289 scopus 로고
    • N s T. The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy
    • Isaksson T, N s T. The effect of multiplicative scatter correction (MSC) and linearity improvement in NIR spectroscopy. Appl. Spectrosc 1988; 42 :1273-1284.
    • (1988) Appl. Spectrosc , vol.42 , pp. 1273-1284
    • Isaksson, T.1
  • 28
    • 0025484884 scopus 로고
    • Qualitative information from multivariate calibration models
    • Seasholtz MB, Kowalski BR. Qualitative information from multivariate calibration models. Appl. Spectrosc 1990; 44:1337-1348.
    • (1990) Appl. Spectrosc , vol.44 , pp. 1337-1348
    • Seasholtz, M.B.1    Kowalski, B.R.2
  • 29
    • 85153550028 scopus 로고    scopus 로고
    • N s T, Isaksson T, Fearn T, Davies T. User-Friendly Guide to Multivariate Calibration and Classification. NIR publications: Chichester, 2002.
    • N s T, Isaksson T, Fearn T, Davies T. User-Friendly Guide to Multivariate Calibration and Classification. NIR publications: Chichester, 2002.
  • 30
    • 23044465317 scopus 로고    scopus 로고
    • Partial least squares, Beers law and the net analyte signal: Statistical modeling and analysis
    • Nadler B, Coifman RR. Partial least squares, Beers law and the net analyte signal: statistical modeling and analysis. J. Chemometrics 2005; 19:45-54.
    • (2005) J. Chemometrics , vol.19 , pp. 45-54
    • Nadler, B.1    Coifman, R.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.