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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Bioinformatics Jg. 18; H. suppl_1; S. S111 - S119
Hauptverfasser:	Sultan, M., Wigle, D.A., Cumbaa, C.A., Maziarz, M., Glasgow, J., Tsao, M.S., Jurisica, I.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford Publishing Limited (England) 01.07.2002
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!