Cancer classification based on gene expression using neural networks.
Genet Mol Res
; 14(4): 17605-11, 2015 Dec 21.
Article
em En
| MEDLINE
| ID: mdl-26782405
Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks. The results show that S-Kohonen neural network is more plausible for classification and has a certain feasibility and validity as compared with BP and SVM neural networks.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Regulação Neoplásica da Expressão Gênica
/
Redes Neurais de Computação
/
Neoplasias do Colo
Limite:
Humans
Idioma:
En
Revista:
Genet Mol Res
Assunto da revista:
BIOLOGIA MOLECULAR
/
GENETICA
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
China
País de publicação:
Brasil