Bioinformatics Advance Access originally published online on May 30, 2007
Bioinformatics 2007 23(15):1927-1935; doi:10.1093/bioinformatics/btm276
Mining co-regulated gene profiles for the detection of functional associations in gene expression data
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1Knowledge and Data Analysis, Unilever Research Vlaardingen, 3130 AC Vlaardingen, The Netherlands
2Functional Genomics Center Zürich, Uni ETH Zürich, CH-8057 Zürich, Switzerland
3Bioinformatics Unit, GenoSyst Ltd, Itäinen Pitkäkatu 4B, 20520 Turku, Finland
*To whom correspondence should be addressed.
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Abstract |
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Motivation: Association pattern discovery (APD) methods have been successfully applied to gene expression data. They find groups of co-regulated genes in which the genes are either up- or down-regulated throughout the identified conditions. These methods, however, fail to identify similarly expressed genes whose expressions change between up- and down-regulation from one condition to another. In order to discover these hidden patterns, we propose the concept of mining co-regulated gene profiles. Co-regulated gene profiles contain two gene sets such that genes within the same set behave identically (up or down) while genes from different sets display contrary behavior. To reduce and group the large number of similar resulting patterns, we propose a new similarity measure that can be applied together with hierarchical clustering methods.
Results: We tested our proposed method on two well-known yeast microarray data sets. Our implementation mined the data effectively and discovered patterns of co-regulated genes that are hidden to traditional APD methods. The high content of biologically relevant information in these patterns is demonstrated by the significant enrichment of co-regulated genes with similar functions. Our experimental results show that the Mining Attribute Profile (MAP) method is an efficient tool for the analysis of gene expression data and competitive with bi-clustering techniques.
Contact: ulrich.wagner{at}fgcz.ethz.ch
Supplementary information: Supplementary data and an executable demo program of the MAP implementation are freely available at http://www.fgcz.ch/publications/map
Associate Editor: Olga Tryanskaya
The authors wish it to be known that in their opinion, the first two authors should be regarded as joint First Authors.
Received on February 16, 2007; revised on April 25, 2007; accepted on May 16, 2007
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