Clustering Short Time-Series Microarray.

Autor: Loh Wei Ping, Hasan, Yahya Abu
Předmět:
Zdroj: AIP Conference Proceedings; 1/30/2008, Vol. 971 Issue 1, p39-46, 8p, 1 Diagram, 2 Charts, 2 Graphs
Abstrakt: Most microarray analyses are carried out on static gene expressions. However, the dynamical study of microarrays has lately gained more attention. Most researches on time-series microarray emphasize on the bioscience and medical aspects but few from the numerical aspect. This study attempts to analyze short time-series microarray mathematically using STEM clustering tool which formally preprocess data followed by clustering. We next introduce the Circular Mould Distance (CMD) algorithm with combinations of both preprocessing and clustering analysis. Both methods are subsequently compared in terms of efficiencies. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index