퍼지 신경망을 이용한 유전자 데이터 분류 기법

Abstract

Although gene expression data classification has improved over the past 30 years, there has been no general approach for identifying new gene data classes (class discovery) or for assigning gene datato known classes (class prediction). Here, a approach to classification based on gene expression monitoring by DNA microarray is described and applied to human leukemias as a test case. Proposed method composed of membership generating procedure from gene expression data and neural networks. The results demonstrate the feasibility of gene expression classification based solely on gene expression monitoring.