Title
Principal Component Analysis for Clustering Gene Expression Data
Publication Date
9-1-2001
Document Type
Article
Abstract
Abstract. Motivation: There is a great need to develop analytical methodology to analyze and to exploit the information contained in gene expression data.
Publication Title
Bioinformatics
Volume
17
Issue
9
First Page
763
Last Page
774
DOI
10.1093/bioinformatics/17.9.763
Publisher Policy
pre print, post print (12 month embargo)
Recommended Citation
Yeung, Ka Yee and Ruzzo, W. L., "Principal Component Analysis for Clustering Gene Expression Data" (2001). School of Engineering and Technology Publications. 315.
https://digitalcommons.tacoma.uw.edu/tech_pub/315
