Clustering Methods in Gene Expression Research

Abstract

The report provides an overview of clustering methods used in gene expression research. The review describes the classic methods of "flat" and hierarchical clustering, and also methods based on Evolutionary Computation and Formal Concept Analysis. The use of Evolutionary Computation in clustering makes it possible to effectively use multi-criteria optimization in solving clustering problems. The analysis of formal concepts makes it possible to investigate cluster hierarchies as a result of precise clustering of gene expression data. The review aims to draw an attention of specialists in the field of molecular biology and computer science to joint research.