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퍼지 신경망을 이용한 유전자 데이터 분류 기법

Title
퍼지 신경망을 이용한 유전자 데이터 분류 기법
Other Titles
Classification of Gene Expression Data Using Membership Function and Neural Network
Author
문영식
Issue Date
2004-06
Publisher
대한전자공학회
Citation
대한전자공학회 학술대회, Page. 807-810
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.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01715245&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/149398
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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