Dimension reduction for classification with gene expression microarray data

Jian J. Dai, Linh Lieu, David M Rocke

Research output: Contribution to journal › Article

130 Citations (Scopus)

Abstract

An important application of gene expression microarray data is classification of biological samples or prediction of clinical and other outcomes. One necessary part of multivariate statistical analysis in such applications is dimension reduction. This paper provides a comparison study of three dimension reduction techniques, namely partial least squares (PLS), sliced inverse regression (SIR) and principal component analysis (PCA), and evaluates the relative performance of classification procedures incorporating those methods. A five-step assessment procedure is designed for the purpose. Predictive accuracy and computational efficiency of the methods are examined. Two gene expression data sets for tumor classification are used in the study.

Original languageEnglish (US)
JournalStatistical Applications in Genetics and Molecular Biology
Volume5
Issue number1
StatePublished - Feb 24 2006

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Dimension Reduction
Microarrays
Gene Expression Data
Microarray Data
Gene expression
Gene Expression
Multivariate Statistical Analysis
Sliced Inverse Regression
Partial Least Squares
Computational efficiency
Computational Efficiency
Principal component analysis
Principal Component Analysis
Three-dimension
Tumors
Tumor
Statistical methods
Least-Squares Analysis
Necessary
Multivariate Analysis

Keywords

  • Feature extraction
  • Gene expression
  • Partial least squares
  • Sliced inverse regression
  • Tumor classification

ASJC Scopus subject areas

  • Genetics

Cite this

Dimension reduction for classification with gene expression microarray data. / Dai, Jian J.; Lieu, Linh; Rocke, David M.

In: Statistical Applications in Genetics and Molecular Biology, Vol. 5, No. 1, 24.02.2006.

Research output: Contribution to journal › Article

Dai, JJ, Lieu, L & Rocke, DM 2006, 'Dimension reduction for classification with gene expression microarray data', Statistical Applications in Genetics and Molecular Biology, vol. 5, no. 1.
Dai JJ, Lieu L, Rocke DM. Dimension reduction for classification with gene expression microarray data. Statistical Applications in Genetics and Molecular Biology. 2006 Feb 24;5(1).
Dai, Jian J. ; Lieu, Linh ; Rocke, David M. / Dimension reduction for classification with gene expression microarray data. In: Statistical Applications in Genetics and Molecular Biology. 2006 ; Vol. 5, No. 1.
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