title: How does gene expression clustering work?
abstract: Clustering is often one of the first steps in gene expression analysis. How do clustering algorithms work, which ones should we use and what can we expect from them?
authors.affiliation: Microbial Systems Division, Biosciences Directorate, Lawrence Livermore National Laboratory, PO Box 808, L-448, Livermore, California 94551, USA. patrikd@llnl.gov
authors.forename: Patrik
authors.initials: P
authors.lastname: D'haeseleer
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D020869:Gene Expression Profiling / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D012984:Software