CLUM: a cluster program for analyzing microarray data.
Genetika
; 44(8): 1137-40, 2008 Aug.
Article
em En
| MEDLINE
| ID: mdl-18825964
ABSTRACT
Microarray technology is increasingly being applied in biological and medical research to address a wide range of problems. Cluster analysis has proven to be a very useful tool for investigating the structure of microarray data. This paper presents a program for clustering microarray data, which is based on the so call path-distance. The algorithm gives in each step a partition in two clusters and no prior assumptions on the structure of clusters are required. It assigns each object (gene or sample) to only one cluster and gives the global optimum for the function that quantifies the adequacy of a given partition of the sample into k clusters. The program was tested on experimental data sets, showing the robustness of the algorithm.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Software
/
Regulação da Expressão Gênica
/
Caenorhabditis elegans
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Perfilação da Expressão Gênica
Limite:
Animals
Idioma:
En
Revista:
Genetika
Ano de publicação:
2008
Tipo de documento:
Article
País de afiliação:
Espanha