한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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- Pages.250-252
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- 2004
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- 1598-5164(pISSN)
독립성분분석에 의한 유전자 발현 시계열 데이터의 공간적 패턴과 시간적 모드 분석
Spatial pattern and temporal mode analysis of microarray time-series data by independent component analysis
- Sookjeong, Kim (Department of Computer Science, POSTECH) ;
- Seungjin, Choi (Department of Computer Science, POSTECH)
- 발행 : 2004.10.01
초록
In this paper we apply several variations of independent component analysis( ICA) methods, such as spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to yeast cell cycle datasets, and compare their performance in finding components that result in gene clusters coherent with annotations and in extract ins meaningful temporal modes. It turns out that the results of tICA are superior to those of PCA, sICA, and stICA in terms of gene clustering and the temporal modes extracted by stICA highlights particular cellular processes.
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