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Canonical correlation analysis of multiple sensory directed metabolomics data blocks reveals corresponding parts between data blocks

  • Published:2011-07 Issue:2 Volume:107 Page:371-376
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Doeswijk T.G.,Hageman J.A.,Westerhuis J.A.,Tikunov Y.,Bovy A.,van Eeuwijk F.A.

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference26 articles.

1. Prediction of Japanese green tea ranking by Fourier transform near-infrared reflectance spectroscopy;Ikeda;Journal of Agricultural and Food Chemistry,2007

2. Use of network analysis to capture key traits affecting tomato organoleptic quality;Carli;Journal of Experimental Botany,2009

3. Correlation between sensory evaluation scores of Japanese sake and metabolome profiles;Sugimoto;Journal of Agricultural and Food Chemistry,2010

4. Penalized Regression Techniques for Modeling Relationships Between Metabolites and Tomato Taste Attributes;Menendez,2010

5. Matrix correlations for high-dimensional data: the modified rv-coefficient;Smilde;Bioinformatics,2009

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