Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis

Authors:
Yijuan Lu;Qi Tian;Maribel Sanchez;Jennifer Neary;Feng Liu;Yufeng Wang
Affiliations:
University of Texas at San Antonio;University of Texas at San Antonio;University of Texas at San Antonio;University of Texas at San Antonio;University of Texas at San Antonio;University of Texas at San Antonio
Venue:
IEEE MultiMedia
Year:
2007

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Abstract

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.