Finding best algorithmic components for clustering microarray data

The analysis of microarray data is fundamental to microbiology. Although clustering has long been realized as central to the discovery of gene functions and disease diagnostic, researchers have found the construction of good algorithms a surprisingly difficult task. In this paper, we address this pr...

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Veröffentlicht in:	Knowledge and information systems Jg. 35; H. 1; S. 111 - 130
Hauptverfasser:	Vukićević, Milan, Kirchner, Kathrin, Delibašić, Boris, Jovanović, Miloš, Ruhland, Johannes, Suknović, Milija
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer-Verlag 01.04.2013 Springer Springer Nature B.V
Schlagworte:	Algorithmics. Computability. Computer arithmetics Algorithms Applied sciences Arrays Bioinformatics Biological and medical sciences Biotechnology Cluster analysis Clustering Computer Science Computer science; control theory; systems Data analysis Data mining Data Mining and Knowledge Discovery Data processing. List processing. Character string processing Database Management Datasets Design engineering Diagnostic systems Exact sciences and technology Fundamental and applied biological sciences. Psychology Gene expression Genes Genetic engineering Genetic technics Information Storage and Retrieval Information systems Information Systems and Communication Service Information Systems Applications (incl.Internet) IT in Business Memory organisation. Data processing Methods. Procedures. Technologies Microbiology Molecular and cellular biology Molecular genetics Regular Paper Software Studies Tasks Theoretical computing Component-based algorithms Clustering Bioinformatics Microarray data Microbiology Competitiveness DNA chip Algorithmics Cluster Information retrieval Software component Data mining Computer aided design
ISSN:	0219-1377, 0219-3116
Online-Zugang:	Volltext
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