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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Vydané v:	Bioinformatics Ročník 18; číslo suppl_1; s. S111 - S119
Hlavní autori:	Sultan, M., Wigle, D.A., Cumbaa, C.A., Maziarz, M., Glasgow, J., Tsao, M.S., Jurisica, I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Oxford Publishing Limited (England) 01.07.2002
Predmet:	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
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