A network partition algorithm for mining gene functional modules of colon cancer from DNA microarray data.
Genomics Proteomics Bioinformatics
; 4(4): 245-52, 2006 Nov.
Article
em En
| MEDLINE
| ID: mdl-17531800
ABSTRACT
Computational analysis is essential for transforming the masses of microarray data into a mechanistic understanding of cancer. Here we present a method for finding gene functional modules of cancer from microarray data and have applied it to colon cancer. First, a colon cancer gene network and a normal colon tissue gene network were constructed using correlations between the genes. Then the modules that tended to have a homogeneous functional composition were identified by splitting up the network. Analysis of both networks revealed that they are scale-free. Comparison of the gene functional modules for colon cancer and normal tissues showed that the modules' functions changed with their structures.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Neoplasias do Colo
/
Análise de Sequência com Séries de Oligonucleotídeos
/
Redes Reguladoras de Genes
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Genomics Proteomics Bioinformatics
Assunto da revista:
BIOQUIMICA
/
GENETICA
/
INFORMATICA MEDICA
Ano de publicação:
2006
Tipo de documento:
Article
País de afiliação:
China