Binary tree-structured vector quantization approach to clustering and visualizing microarray data

Motivation: With the increasing number of gene expression databases, the need for more powerful analysis and visualization tools is growing. Many techniques have successfully been applied to unravel latent similarities among genes and/or experiments. Most of the current systems for microarray data a...

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Bibliographic Details

Published in:	Bioinformatics Vol. 18; no. suppl_1; pp. S111 - S119
Main Authors:	Sultan, M., Wigle, D.A., Cumbaa, C.A., Maziarz, M., Glasgow, J., Tsao, M.S., Jurisica, I.
Format:	Journal Article
Language:	English
Published:	England Oxford Publishing Limited (England) 01.07.2002
Subjects:	Algorithms Carcinoma, Non-Small-Cell Lung - genetics Cluster Analysis Computer Graphics Gene Expression Profiling - methods Humans Lung cancer Lung Neoplasms - genetics Models, Genetic Models, Statistical Oligonucleotide Array Sequence Analysis - methods Software Statistical methods User-Computer Interface
ISSN:	1367-4803, 1367-4811, 1460-2059
Online Access:	Get full text
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