Clustering of high throughput gene expression data

Harun Pirim, Burak Ekşioğlu, Andy D. Perkins, Çetin Yüceer
2012 Computers & Operations Research  
High throughput biological data need to be processed, analyzed, and interpreted to address problems in life sciences. Bioinformatics, computational biology, and systems biology deal with biological problems using computational methods. Clustering is one of the methods used to gain insight into biological processes, particularly at the genomics level. Clearly, clustering can be used in many areas of biological data analysis. However, this paper presents a review of the current clustering
more » ... ms designed especially for analyzing gene expression data. It is also intended to introduce one of the main problems in bioinformatics -clustering gene expression data -to the operations research community.
doi:10.1016/j.cor.2012.03.008 pmid:23144527 pmcid:PMC3491664 fatcat:zfc3l22vmvfvlphpqmoox5ka54