Hierarchical Multi-Bottleneck Classification Method And Its Application to DNA Microarray Expression Data
Author(s)
Xiong, Xuejian
Wong, Weng Fai
Hsu, Wen Jing
Date Issued
January 2003
Series/Report no.
Computer Science (CS);
Abstract
The recent development of DNA microarray technology is creating a wealth of gene expression data. Typically these datasets have high dimensionality and a lot of varieties. Analysis of DNA microarray expression data is a fast growing research area that interfaces various disciplines such as biology, biochemistry, computer science and statistics. It is concluded that clustering and classification techniques can be successfully employed to group genes based on the similarity of their expression patterns. In this paper, a hierarchical multi-bottleneck classification method is proposed, and it is applied to classify a publicly available gene microarray expression data of budding yeast Saccharomyces cerevisiae.
Subjects
DNA microarray
gene expression data
hierarchical multi-bottleneck classification method
Semi-parametric mixture identification
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