(s)PLS-DA

Case study

See Case Study: sPLS-DA SRBCT for more details and plotting options.

More details

See Distance Metrics for more details on how classifications are made.

References
  1. Pérez-Enciso, M. and Tenenhaus, M., 2003. Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach. Human genetics, 112(5-6), pp.581-592.
  2. Nguyen, D.V. and Rocke, D.M., 2002. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18(1), pp.39-50.
  3. Lê Cao, K.A., Boitard, S. and Besse, P., 2011. Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems. BMC bioinformatics, 12(1), p.253
  4. FISHER, R. (1936). THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS. Annals Of Eugenics, 7(2), 179-188. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x