Data Fusion in Metabolomics and Proteomics for Biomarker Discovery.
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[1] H. Nielsen,et al. Data fusion in metabolomic cancer diagnostics , 2012, Metabolomics.
[2] John C Lindon,et al. Processing and modeling of nuclear magnetic resonance (NMR) metabolic profiles. , 2011, Methods in molecular biology.
[3] Søren Feodor Nielsen,et al. Proper and Improper Multiple Imputation , 2003 .
[4] Nello Cristianini,et al. Learning the Kernel Matrix with Semidefinite Programming , 2002, J. Mach. Learn. Res..
[5] Susumu Goto,et al. KEGG for integration and interpretation of large-scale molecular data sets , 2011, Nucleic Acids Res..
[6] F. V. van Schooten,et al. Analysis of volatile organic compounds in exhaled breath by gas chromatography-mass spectrometry combined with chemometric analysis. , 2014, Methods in molecular biology.
[7] T. Hankemeier,et al. Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives , 2010, Metabolomics.
[8] Lutgarde M. C. Buydens,et al. Interpretation of variable importance in Partial Least Squares with Significance Multivariate Correlation (sMC) , 2014 .
[9] A Smolinska,et al. Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis , 2014, Journal of breath research.
[10] Xiang Zhang,et al. A method of aligning peak lists generated by gas chromatography high-resolution mass spectrometry. , 2013, The Analyst.
[11] S. Wijmenga,et al. NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review. , 2012, Analytica chimica acta.
[12] Burkhard Morgenstern,et al. MarVis-Pathway: integrative and exploratory pathway analysis of non-targeted metabolomics data , 2014, Metabolomics.
[13] Rasmus Bro,et al. Improving the speed of multi-way algorithms:: Part I. Tucker3 , 1998 .
[14] D. Vuckovic. Current trends and challenges in sample preparation for global metabolomics using liquid chromatography–mass spectrometry , 2012, Analytical and Bioanalytical Chemistry.
[15] S. Wold,et al. Orthogonal projections to latent structures (O‐PLS) , 2002 .
[16] Kimberly Van Auken,et al. WormBase: a multi-species resource for nematode biology and genomics , 2004, Nucleic Acids Res..
[17] Mia Hubert,et al. ROBPCA: A New Approach to Robust Principal Component Analysis , 2005, Technometrics.
[18] B Marshall,et al. Gene Ontology Consortium: The Gene Ontology (GO) database and informatics resource , 2004, Nucleic Acids Res..
[19] Tormod Næs,et al. Chemometrics in foodomics: Handling data structures from multiple analytical platforms , 2014 .
[20] R. A. van den Berg,et al. Centering, scaling, and transformations: improving the biological information content of metabolomics data , 2006, BMC Genomics.
[21] Lutgarde M. C. Buydens,et al. Interpretation and Visualization of Non-Linear Data Fusion in Kernel Space: Study on Metabolomic Characterization of Progression of Multiple Sclerosis , 2012, PloS one.
[22] M. D. Luque de Castro,et al. Metabolomics analysis II. Preparation of biological samples prior to detection , 2010 .
[23] Paul H. C. Eilers,et al. Flexible smoothing with B-splines and penalties , 1996 .
[24] Paul H. C. Eilers,et al. Improved parametric time warping for proteomics , 2010 .
[25] Ron Wehrens,et al. Thresholding for biomarker selection in multivariate data using Higher Criticism. , 2012, Molecular bioSystems.
[26] Yukio Tominaga,et al. Comparative study of class data analysis with PCA-LDA, SIMCA, PLS, ANNs, and k-NN , 1999 .
[27] Ron Wehrens,et al. Stability-based biomarker selection. , 2011, Analytica chimica acta.
[28] J. Roger,et al. Fusion of aroma, FT-IR and UV sensor data based on the Bayesian inference. Application to the discrimination of white grape varieties , 2003 .
[29] Lutgarde M. C. Buydens,et al. Breaking with trends in pre-processing? , 2013 .
[30] Anna Bierczynska-Krzysik,et al. Methods for samples preparation in proteomic research. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[31] Johan Trygg,et al. Background Estimation, Denoising, and Preprocessing , 2009 .
[32] Lutgarde M. C. Buydens,et al. Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis , 2011, BMC Bioinformatics.
[33] S. Wold,et al. PLS: Partial Least Squares Projections to Latent Structures , 1993 .
[34] Jean-Philippe Vert,et al. The Influence of Feature Selection Methods on Accuracy, Stability and Interpretability of Molecular Signatures , 2011, PloS one.
[35] J. Carstensen,et al. Aligning of single and multiple wavelength chromatographic profiles for chemometric data analysis using correlation optimised warping , 1998 .
[36] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[37] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[38] Joram M. Posma,et al. MetaboNetworks, an interactive Matlab-based toolbox for creating, customizing and exploring sub-networks from KEGG , 2013, Bioinform..
[39] Christophe Croux,et al. TOMCAT: A MATLAB toolbox for multivariate calibration techniques , 2007 .
[40] P. Eilers. A perfect smoother. , 2003, Analytical chemistry.
[41] M. Barker,et al. Partial least squares for discrimination , 2003 .
[42] Beata Walczak,et al. Wavelets in Chemistry , 2001 .
[43] Peter de B Harrington,et al. Baseline correction method using an orthogonal basis for gas chromatography/mass spectrometry data. , 2011, Analytical chemistry.
[44] Rasmus Bro,et al. A modification of canonical variates analysis to handle highly collinear multivariate data , 2006 .
[45] Peter J Oefner,et al. Comprehensive two-dimensional gas chromatography in metabolomics , 2012, Analytical and Bioanalytical Chemistry.
[46] S. D. Jong. SIMPLS: an alternative approach to partial least squares regression , 1993 .
[47] Francis R. Bach,et al. Consistency of the group Lasso and multiple kernel learning , 2007, J. Mach. Learn. Res..
[48] Frans van den Berg,et al. Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data , 2004 .
[49] Matej Oresic,et al. MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data , 2010, BMC Bioinformatics.
[50] M. D. Luque de Castro,et al. Metabolomics analysis I. Selection of biological samples and practical aspects preceding sample preparation , 2010 .