منابع مشابه
Gene Expression Analysis Using Fuzzy K-Means Clustering
The recent advances of array technologies have made it possible to monitor huge amount of genes expression data. Clustering, for example, hierarchical clustering, self-organizing maps (SOM), kmeans clustering, has become important analysis for such gene expression data. We have applied the Fuzzy adaptive resonance theory (Fuzzy ART) [5] to the gene clustering of DNA microarray data and the clus...
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The availability of whole genome sequence data has facilitated the development of high-throughput technologies for monitoring biological signals on a genomic scale. The revolutionary microarray technology, first introduced in 1995 (Schena et al., 1995), is now one of the most valuable techniques for global gene expression profiling. Other high-throughput genomic technologies, such as Serial Ana...
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In recent years, clustering analysis has even become a valuable and useful tool for insilico analysis of microarray or gene expression data. Although a number of clustering methods have been proposed, they are confronted with difficulties in meeting the requirements of automation, high quality, and high efficiency at the same time. In this chapter, we discuss the issue of parameterless clusteri...
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Microarray technology can be used to collect gene expression data in bulk. In order to be able to deal with this large amount of data that can now be produced, an efficient method of computing the relationships of this data must be constructed. Some attempts at applying neural networks have been employed for this task. For this project we intend to implement several neural network architectures...
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ژورنال
عنوان ژورنال: International Journal of Computer and Electrical Engineering
سال: 2009
ISSN: 1793-8163
DOI: 10.7763/ijcee.2009.v1.24