Dissimilarity partial least squares applied to non-linear modeling problems

Chemometrics and Intelligent Laboratory Systems

Volumn 110, Issue 1, 2012, Pages 156-162

  Zerzucha, P ^a   Daszykowski, M ^a   Walczak, B ^a  

^a UNIVERSITY OF SILESIA   (Poland)

Author keywords

Euclidean distance; Kernels; Local modeling; Partial least squares; Similarity matrix

Indexed keywords

ALGORITHM; ARTICLE; CALIBRATION; CLASSIFICATION; CONTROLLED STUDY; DISSIMILARITY PARTIAL LEAST SQUARES; EUCLIDEAN DISTANCE; EXPLANATORY VARIABLE; HIERARCHICAL MODEL; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PHENOMENA; NONLINEAR SYSTEM; PARTIAL LEAST SQUARES REGRESSION; PRIORITY JOURNAL; SIMULATION;

EID: 83655164830     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.11.005     Document Type: Article

References (25)

1. Walczak B., Massart D.L. Analytica Chimica Acta 1996, 331:177-185.
2. Walczak B., Massart D.L. Analytica Chimica Acta 1996, 331:187-193.
3. Belousov A.I., Verzakov S.A., Von Frese J. Chemometrics and Intelligent Laboratory Systems 2002, 64:15-25.
4. Czekaj T., Wu W., Walczak B. Journal of Chemometrics 2005, 19:341-354.
5. Martin Y.C., Lin C.T., Hetti C., DeLazzer J. Journal of Medicinal Chemistry 1995, 38:3009-3015.
6. Naes T., Isaksson T. Journal of Chemometrics 1991, 5:49-65.
7. Tondel K., Indahl U., Gjuvsland A., Vik J., Hunter P., Omholt S., Martens H. BMC Systems Biology 2011, 5:90.
8. Breiman L., Friedman J., Olshen R., Stone C. Classification and Regression Trees 1984, Wadsworth International Group, Belmont, CA.
9. Friedman J.H. The Annals of Statistics 1991, 19:1-67.
10. Questier F., Put R., Coomans D., Walczak B., Heyden Y.V. Chemometrics and Intelligent Laboratory Systems 2005, 76:45-54.
11. Daszykowski M., Stanimirova I., Walczak B., Coomans D. Chemometrics and Intelligent Laboratory Systems 2005, 78:19-29.
12. Wold S., Kettaneh N., Tjessem K. Journal of Chemometrics 1996, 10:463-482.
13. Martens H., Veflingstad S.R., Plahte E., Martens M., Bertrand D., Omholt S.W. BMC Systems Biology 2009, 3:87-99.
14. Berget I., Mevik B.-H., Næs T. Computational Statistics and Data Analysis 2008, 52:2403-2418.
15. Naes T., Isaksson T., Kowalski B. Analytical Chemistry 1990, 62:664-673.
16. Walczak B., Massart D.L. Chemometrics and Intelligent Laboratory Systems 2000, 51:219-238.
17. Walczak B., Wegscheider W. Chemometrics and Intelligent Laboratory Systems 1994, 22:199-207.
18. Martens H., Næs T. Multivariate Calibration 1989, Wiley, Chichester. 1st ed.
19. Daszykowski M., Walczak B., Massart D.L. Journal of Chemical Information and Computer Sciences 2002, 42:1378-1389.
20. Ma X.-J., Wang Z., Ryan P.D., Isakoff S.J., Barmettler A., Fuller A., Muir B., Mohapatra G., Salunga R., Tuggle J.T., Tran Y., Tran D., Tassin A., Amon P., Wang W., Wang W., Enright E., Stecker K., Estepa-Sabal E., Smith B., Younger J., Balis U., Michaelson J., Bhan A., Habin K., Baer T.M., Brugge J., Haber D.A., Erlander M.G., Sgroi D.C. Cancer Cell 2004, 5:607-616.
21. NCBI Gene Expression Omnibus (GE 389 O) (accessed August 25, 2011). http://www.ncbi.nlm.nih.gov/geo/.
22. Eilers P.H.C., Marx B.D. Statistical Science 1996, 11:89-121.
23. Eilers P.H.C. Kwantitatieve Methoden 2004, 71:38-45.
24. Borg I., Groenen P. Modern Multidimensional Scaling: Theory and Applications 2005, Springer-Verlag, New York. 2nd ed.
25. Legendre P., Legendre L. Numerical Ecology 1998, Elsevier, Amsterdam.