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학술대회 프로시딩

홈 홈 > 연구문헌 > 학술대회 프로시딩 > IPIU (영상처리 및 이해에 관한 워크샵) > IPIU 2004 (제16회 영상처리 및 이해에 관한 워크샵)

IPIU 2004 (제16회 영상처리 및 이해에 관한 워크샵)

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한글제목(Korean Title) 독립 공간 분석 방법을 이용한 유전자간의 상호관계 분석
영문제목(English Title) Analysis of Interaciton in Multiple Genes Using Independent Subspace Analysis
저자(Author) 김혜진   최승진   방승양   Hyejin Kim   Seungjin Choi   Sung-Yang Bang  
원문수록처(Citation) VOL 16 NO. 01 PP. 0441 ~ 0444 (2004. 01)
한글내용
(Korean Abstract)
영문내용
(English Abstract)
Linear decomposition models such as principal component analysis(PCA) and independent component analysis(ICA) were shown to be useful in analyzing highdiensional DNA microarray data, compared to clustering methods. These methods assume that gene expression is controlled by a linear combination of uncorrected/independent latent variables. However, these methods have some difficulty in grouping similar patterns which are slightly time-delayed or asymmetric since only exactly matched patterns are considered. In order to overcome this, we employ the independent subspace analysis(IFSA) method to locate phase- and shift-invariant features. Membership scoring functions play an important role to classify genes since linear decomposition models basically aim at data reduction not but at grouping data. We address a new function essential to the IFSA method. In this paper we stress that IFSA is useful in grouping functionally-related genes in the presence of time-shift and expression phase variance. Ultimately, we propose a new approach to investigate the multiple interaction information of genes.
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