Gene Expression Data Clustering
Abstract
Gene expression analysis is becoming very important in order to understand complex living organisms. Rather than analyzing genes individually, there is more powerful approach, microarray technology to analyze the genes expression in high throughput. This new approach brings new analyses problems that make the interpretation difficult. To understand the correlated gene expression analysis easier some clustering methods are applied to the gene expression analysis. In this paper, different approach is represented to start to cluster with using some computational strategies.
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PDFDOI: http://dx.doi.org/10.21533/scjournal.v2i2.28
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Copyright (c) 2015 SouthEast Europe Journal of Soft Computing
ISSN 2233 -1859
Digital Object Identifier DOI: 10.21533/scjournal
This work is licensed under a Creative Commons Attribution 4.0 International License