Record number :
4842
Title of article :
Optimal Approach for Classification of Acute Leukemia Subtypes Based on Gene Expression Data
Author/Authors :
Cho، Ji-Hoon نويسنده , , Lee، Dongkwon نويسنده , , Park، Jin Hyun نويسنده , , Kim، Kunwoo نويسنده , , Lee، In-Beum نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Pages :
-846
From page :
847
To page :
0
Abstract :
The classification of cancer subtypes, which is critical for successful treatment, has been studied extensively with the use of gene expression profiles from oligonucleotide chips or cDNA microarrays. Various pattern recognition methods have been successfully applied to gene expression data. However, these methods are not optimal, rather they are high-performance classifiers that emphasize only classification accuracy. In this paper, we propose an approach for the construction of the optimal linear classifier using gene expression data. Two linear classification methods, linear discriminant analysis (LDA) and discriminant partial least-squares (DPLS), are applied to distinguish acute leukemia subtypes. These methods are shown to give satisfactory accuracy. Moreover, we determined optimally the number of genes participating in the classification (a remarkably small number compared to previous results) on the basis of the statistical significance test. Thus, the proposed method constructs the optimal classifier that is composed of a small size predictor and provides high accuracy.
Journal title :
BIOTECHNOLOGY PROGRESS
Journal title :
BIOTECHNOLOGY PROGRESS
Serial Year :
2002
Link To Document :
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