Journal of Health Management and Informatics [JHMI]. 2017; 4 (1): 1-6
em Inglês
| IMEMR
| ID: emr-185854
ABSTRACT
Introduction:
Cancer is a major cause of mortality in the modern world, and one of the most important health problems in societies. During recent years, research on cancer as a system biology disease is focused on molecular differences between cancer cells and healthy cells. Most of the proposed methods for classifying cancer using gene expression data act as black boxes and lack biological interpretability. The goal of this study is to design an interpretable fuzzy model for classifying gene expression data of Lymphoma cancer
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Índice:
IMEMR (Mediterrâneo Oriental)
Assunto principal:
Variação Genética
/
Expressão Gênica
/
Lógica Fuzzy
/
Análise em Microsséries
/
Linfoma
/
Modelos Teóricos
Limite:
Humanos
Idioma:
Inglês
Revista:
J. Health Manag. Inform.
Ano de publicação:
2017
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