User menu

ASCA+ and APCA+: Extensions of ASCA and APCA in the analysis of unbalanced multifactorial designs

Bibliographic reference Thiel, Michel ; Feraud, Baptiste ; Govaerts, Bernadette. ASCA+ and APCA+: Extensions of ASCA and APCA in the analysis of unbalanced multifactorial designs. In: Journal of Chemometrics, Vol. n/a, Available online: 21 June 2017, p. n/a-n/a (to appear)
Permanent URL
  1. Jansen Jeroen J., Hoefsloot Huub C. J., van der Greef Jan, Timmerman Marieke E., Westerhuis Johan A., Smilde Age K., ASCA: analysis of multivariate data obtained from an experimental design, 10.1002/cem.952
  2. Trygg Johan, Holmes Elaine, Lundstedt Torbjörn, Chemometrics in Metabonomics, 10.1021/pr060594q
  3. Fisher, The Design of Experiments (1935)
  4. Neter, Applied Linear Statistical Models (2004)
  5. St»hle Lars, Wold Svante, Multivariate analysis of variance (MANOVA), 10.1016/0169-7439(90)80094-m
  6. Smilde A. K., Jansen J. J., Hoefsloot H. C. J., Lamers R.-J. A. N., van der Greef J., Timmerman M. E., ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data, 10.1093/bioinformatics/bti476
  7. Harrington Peter de B., Vieira Nancy E., Espinoza Jimmy, Nien Jyh Kae, Romero Roberto, Yergey Alfred L., Analysis of variance–principal component analysis: A soft tool for proteomic discovery, 10.1016/j.aca.2005.02.042
  8. Harrington Peter de B., Vieira Nancy E., Chen Ping, Espinoza Jimmy, Nien Jyh Kae, Romero Roberto, Yergey Alfred L., Proteomic analysis of amniotic fluids using analysis of variance-principal component analysis and fuzzy rule-building expert systems applied to matrix-assisted laser desorption/ionization mass spectrometry, 10.1016/j.chemolab.2005.05.011
  9. Verouden Maikel P.H., Westerhuis Johan A., van der Werf Mariët J., Smilde Age K., Exploring the analysis of structured metabolomics data, 10.1016/j.chemolab.2009.05.004
  10. Cañellas Nicolau, Solà-Alberich Rosa, Brezmes Jesus, Mallol Roger, Valls Rosa-Mª, Rodríguez Miguel A., Vinaixa Maria, Anguera Anna, Correig Xavier, Use of multivariate chemometric algorithms on 1H NMR data to assess a soluble fiber (Plantago ovata husk) nutritional intervention, 10.1016/j.chemolab.2012.11.015
  11. Mazerolles G., Boccard J., Hanafi M., Rudaz S., Analysis of experimental design with multivariate response: A contribution using multiblock techniques, 10.1016/j.chemolab.2010.09.001
  12. Sarembaud Julien, Pinto Rui, Rutledge Douglas N., Feinberg Max, Application of the ANOVA-PCA method to stability studies of reference materials, 10.1016/j.aca.2007.09.046
  13. Harnly James M., Harrington Peter B., Botros Lucy L., Jablonski Joseph, Chang Claire, Bergana Marti Mamula, Wehling Paul, Downey Gerard, Potts Alan R., Moore Jeffrey C., Characterization of Near-Infrared Spectral Variance in the Authentication of Skim and Nonfat Dry Milk Powder Collection Using ANOVA-PCA, Pooled-ANOVA, and Partial Least-Squares Regression, 10.1021/jf5013727
  14. Climaco-Pinto R., Barros A.S., Locquet N., Schmidtke L., Rutledge D.N., Improving the detection of significant factors using ANOVA-PCA by selective reduction of residual variability, 10.1016/j.aca.2009.09.016
  15. Climaco Pinto Rui, Bosc Véronique, Noçairi H., Barros António S., Rutledge Douglas N., Using ANOVA-PCA for discriminant analysis: Application to the study of mid-infrared spectra of carraghenan gels as a function of concentration and temperature, 10.1016/j.aca.2008.09.024
  16. Thissen Uwe, Wopereis Suzan, van den Berg Sjoerd AA, Bobeldijk Ivana, Kleemann Robert, Kooistra Teake, Willems van Dijk Ko, van Ommen Ben, Smilde Age K, Improving the analysis of designed studies by combining statistical modelling with study design information, 10.1186/1471-2105-10-52
  17. El Ghaziri, Electron J Appl Stat Anal, 8, 214 (2015)
  18. Boccard Julien, Rudaz Serge, Exploring Omics data from designed experiments using analysis of variance multiblock Orthogonal Partial Least Squares, 10.1016/j.aca.2016.03.042
  19. Jansen Jeroen J., Bro Rasmus, Hoefsloot Huub C. J., van den Berg Frans W. J., Westerhuis Johan A., Smilde Age K., PARAFASCA: ASCA combined with PARAFAC for the analysis of metabolic fingerprinting data, 10.1002/cem.1105
  20. Jouan-Rimbaud Bouveresse D., Pinto R. Climaco, Schmidtke L.M., Locquet N., Rutledge D.N., Identification of significant factors by an extension of ANOVA–PCA based on multi-block analysis, 10.1016/j.chemolab.2010.05.005
  21. Madsen, Introduction to General and Generalized Linear Models (2010)
  22. Zwanenburg Gooitzen, Hoefsloot Huub C.J., Westerhuis Johan A., Jansen Jeroen J., Smilde Age K., ANOVA-principal component analysis and ANOVA-simultaneous component analysis: a comparison : ANOVA-PCA and ASCA: a comparison, 10.1002/cem.1400
  23. Vis Daniel J, Westerhuis Johan A, Smilde Age K, van der Greef Jan, Statistical validation of megavariate effects in ASCA, 10.1186/1471-2105-8-322
  24. Anderson Marti, Braak Cajo Ter, Permutation tests for multi-factorial analysis of variance, 10.1080/00949650215733
  25. Rousseau R Statistical contribution to the analysis of metabonomic data in H-NMR spectroscopy Ph.D. Thesis 2011