Analysis of temporal gene expression profiles: clustering by simulated annealing and determining the optimal number of clusters

Motivation: Cluster analysis of genome-wide expression data from DNA microarray hybridization studies has proved to be a useful tool for identifying biologically relevant groupings of genes and samples. In the present paper, we focus on several important issues related to clustering algorithms that...

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Veröffentlicht in:	Bioinformatics 2001-05, Vol.17 (5), p.405-414
Hauptverfasser:	Lukashin, Alexander V., Fuchs, Rainer
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and medical sciences Cell Cycle - genetics Cluster Analysis Computational Biology Fundamental and applied biological sciences. Psychology Gene Expression Profiling - statistics & numerical data General aspects Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Oligonucleotide Array Sequence Analysis - statistics & numerical data Saccharomyces cerevisiae - cytology Saccharomyces cerevisiae - genetics
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