Article
Including probe-level uncertainty in model-based gene expression clustering.
BMC bioinformatics - 21 Mar 2007
Liu Xuejun, Lin Kevin K, Andersen Bogi, Rattray Magnus
Abstract excerpt
BACKGROUND: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the exploration of unknown gene functions. Microarray experiments are associated with many sources of experimental and biological variation and the resulting gene expression data are therefore very noisy. Many heuristic and model-based clustering...
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