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Volumn 899, Issue , 2015, Pages 1-12

Regularized MANOVA (rMANOVA) in untargeted metabolomics

Author keywords

Analysis of variance simultaneous component analysis; Experimental design; High dimensional data; Metabolomics; Multivariate analysis of variance; Regularized multivariate analysis of variance

Indexed keywords

CLUSTERING ALGORITHMS; DESIGN OF EXPERIMENTS; METABOLITES; STATISTICS;

EID: 84946501129     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2015.06.042     Document Type: Article
Times cited : (58)

References (34)
  • 6
    • 0025102624 scopus 로고
    • Multivariate analysis of variance (MANOVA)
    • Ståhle L., Wold S. Multivariate analysis of variance (MANOVA). Chemom. Intell. Lab. Syst. 1990, 9:127-141.
    • (1990) Chemom. Intell. Lab. Syst. , vol.9 , pp. 127-141
    • Ståhle, L.1    Wold, S.2
  • 8
    • 84887994123 scopus 로고    scopus 로고
    • A LC-MS metabolomics approach to investigate the effect of raw apple intake in the rat plasma metabolome
    • Rago D., Mette K., Gürdeniz G., Marini F., Poulsen M., Dragsted L. A LC-MS metabolomics approach to investigate the effect of raw apple intake in the rat plasma metabolome. Metabolomics 2013, 9:1202-1215.
    • (2013) Metabolomics , vol.9 , pp. 1202-1215
    • Rago, D.1    Mette, K.2    Gürdeniz, G.3    Marini, F.4    Poulsen, M.5    Dragsted, L.6
  • 10
    • 0032915311 scopus 로고    scopus 로고
    • Principal response curves: analysis of time-dependent multivariate responses of biological community to stress
    • Van den Brink P.J., Braak C.J.F.T. Principal response curves: analysis of time-dependent multivariate responses of biological community to stress. Environ. Toxicol. Chem. 1999, 18:138-148.
    • (1999) Environ. Toxicol. Chem. , vol.18 , pp. 138-148
    • Van den Brink, P.J.1    Braak, C.J.F.T.2
  • 14
    • 0004242197 scopus 로고
    • John Wiley & Sons, Inc., New York, United States of America
    • Searle S.R. Linear Models 1971, John Wiley & Sons, Inc., New York, United States of America.
    • (1971) Linear Models
    • Searle, S.R.1
  • 15
    • 0346961488 scopus 로고    scopus 로고
    • A well-conditioned estimator for large-dimensional covariance matrices
    • Ledoit O., Wolf M. A well-conditioned estimator for large-dimensional covariance matrices. J. Multivar. Anal. 2004, 88:365-411.
    • (2004) J. Multivar. Anal. , vol.88 , pp. 365-411
    • Ledoit, O.1    Wolf, M.2
  • 16
    • 63549122405 scopus 로고    scopus 로고
    • Multivariate analysis of variance test for gene set analysis
    • Tsai C.-A., Chen J.J. Multivariate analysis of variance test for gene set analysis. Bioinformatics 2009, 25:897-903.
    • (2009) Bioinformatics , vol.25 , pp. 897-903
    • Tsai, C.-A.1    Chen, J.J.2
  • 17
    • 0041841552 scopus 로고    scopus 로고
    • Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
    • Ledoit O., Wolf M. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection. J. Empir. Financ. 2003, 10:603-621.
    • (2003) J. Empir. Financ. , vol.10 , pp. 603-621
    • Ledoit, O.1    Wolf, M.2
  • 18
    • 27844521293 scopus 로고    scopus 로고
    • Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics
    • Schäfer J.S., Shrinkage K.A. Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics. Stat. Appl. Genet. Mol. 2005, 4.
    • (2005) Stat. Appl. Genet. Mol. , vol.4
    • Schäfer, J.S.1    Shrinkage, K.A.2
  • 20
    • 33751507060 scopus 로고
    • Sequential Monte Carlo p-values
    • Besag J., Clifford P. Sequential Monte Carlo p-values. Biometrika 1991, 78:301-304.
    • (1991) Biometrika , vol.78 , pp. 301-304
    • Besag, J.1    Clifford, P.2
  • 21
    • 70449672829 scopus 로고    scopus 로고
    • Power of the sequential Monte Carlo test
    • Silva I., Assunção R., Costa M. Power of the sequential Monte Carlo test. Seq. Anal. 2009, 28:163-174.
    • (2009) Seq. Anal. , vol.28 , pp. 163-174
    • Silva, I.1    Assunção, R.2    Costa, M.3
  • 22
    • 0035056250 scopus 로고    scopus 로고
    • Permutation tests for univariate or multivariate analysis of variance and regression
    • Anderson M.J. Permutation tests for univariate or multivariate analysis of variance and regression. Can. J. Fish. Aquat. Sci. 2001, 58:626-639.
    • (2001) Can. J. Fish. Aquat. Sci. , vol.58 , pp. 626-639
    • Anderson, M.J.1
  • 23
    • 0037319490 scopus 로고    scopus 로고
    • Permutation tests for multi-factorial analysis of variance
    • Anderson M., Braak C.T. Permutation tests for multi-factorial analysis of variance. J. Stat. Comput. Sim. 2003, 73:85-113.
    • (2003) J. Stat. Comput. Sim. , vol.73 , pp. 85-113
    • Anderson, M.1    Braak, C.T.2
  • 26
    • 4444351752 scopus 로고    scopus 로고
    • Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data
    • Tomasi G., van den Berg F., Andersson C. Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data. J. Chemom. 2004, 18:231-241.
    • (2004) J. Chemom. , vol.18 , pp. 231-241
    • Tomasi, G.1    van den Berg, F.2    Andersson, C.3
  • 29
    • 13444287831 scopus 로고    scopus 로고
    • ROBPCA: a new approach to robust principal component analysis
    • Hubert M., Rousseeuw P.J. ROBPCA: a new approach to robust principal component analysis. Technometrics 2005, 47:64-79.
    • (2005) Technometrics , vol.47 , pp. 64-79
    • Hubert, M.1    Rousseeuw, P.J.2
  • 30
    • 12044257390 scopus 로고
    • How the power of MANOVA can both increase and decrease as a function of the intercorrelations among the dependent variables
    • Cole D.A., Maxwell S.E., Arvey R., Salas E. How the power of MANOVA can both increase and decrease as a function of the intercorrelations among the dependent variables. Psychol. Bull. 1994, 115:465-474.
    • (1994) Psychol. Bull. , vol.115 , pp. 465-474
    • Cole, D.A.1    Maxwell, S.E.2    Arvey, R.3    Salas, E.4
  • 32
    • 84865108637 scopus 로고    scopus 로고
    • Concept of (dis)similarity in data analysis
    • Zerzucha P., Walczak B. Concept of (dis)similarity in data analysis. TRAC-Trend. Anal. Chem. 2012, 38:116-128.
    • (2012) TRAC-Trend. Anal. Chem. , vol.38 , pp. 116-128
    • Zerzucha, P.1    Walczak, B.2
  • 33
    • 0002154022 scopus 로고    scopus 로고
    • A new method for non-parametric multivariate analysis of variance
    • Anderson M.J. A new method for non-parametric multivariate analysis of variance. Austral Ecol. 2001, 26:32-46.
    • (2001) Austral Ecol. , vol.26 , pp. 32-46
    • Anderson, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.