Issue No.04 - October-December (2007 vol.14)
Qi Tian , University of Texas at San Antonio
Maribel Sanchez , University of Texas at San Antonio
Jennifer Neary , University of Texas at San Antonio
Feng Liu , University of Texas at San Antonio
Yufeng Wang , University of Texas at San Antonio
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2007.78
A proposed hybrid dimension reduction scheme—hybrid discriminant analysis—merges principal component and linear discriminant analysis in a unified framework for studying gene expression data. This flexible technique also reduces computational complexity. We conducted a set of 80 microarray experiments to test this technique as well as a boosted hybrid analysis technique.
LDA, PCA, dimension reduction, and microarray analysis.
Qi Tian, Maribel Sanchez, Jennifer Neary, Feng Liu, Yufeng Wang, "Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis", IEEE MultiMedia, vol.14, no. 4, pp. 22-31, October-December 2007, doi:10.1109/MMUL.2007.78